# Vals Index / code migration > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Avals_index%3Acode_migration. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Avals_index%3Acode_migration. A single measure of AI's potential economic impact — agentic model performance across finance, coding, legal, and tax tasks, weighted by each sector's share of U.S. GDP. Canonical URL: https://benchize.com/benchmarks/vals-ai%3Avals_index%3Acode_migration Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. A single measure of AI's potential economic impact — agentic model performance across finance, coding, legal, and tax tasks, weighted by each sector's share of U.S. GDP. Composite indexes · Models tested: 14 · Score publishers: Vals AI ## Model results | # | Model | Score | ± | Cost | Latency | | | --- | --- | --- | --- | --- | --- | --- | | 1 | [Claude Sonnet 5.5](https://benchize.com/models/claude-sonnet-5-5-max.md)Max | 87.37% | SE ±2.39 pp | $45.41 | 14,850.4source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 87.372 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 45.405088 \| USD \| per_test \| Lower is better \| \| `latency` \| 14850.395 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±2.39 pp sourcePopulation 23 stderr 2.388 tokenTotals {"cache_read_tokens":20245723628,"cache_write_tokens":204790865,"input_tokens":20450605917,"output_tokens":74788366,"reasoning_tokens":34898228} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label anthropic/claude-sonnet-5-5 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/anthropic~1claude-sonnet-5-5` | | | | | | | | 2 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5-max.md)Max | 80.49% | SE ±4.08 pp | $72.3 | 12,635.27source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 80.487 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 72.30083 \| USD \| per_test \| Lower is better \| \| `latency` \| 12635.272 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.08 pp sourcePopulation 23 stderr 4.08 tokenTotals {"cache_read_tokens":16430817403,"cache_write_tokens":173755296,"input_tokens":16604648219,"output_tokens":56658262,"reasoning_tokens":20731364} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label anthropic/claude-opus-5-5 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/anthropic~1claude-opus-5-5` | | | | | | | | 3 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra-max.md)Max | 78.03% | SE ±3.13 pp | $66.64 | 5,286.5source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 78.031 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 66.641779 \| USD \| per_test \| Lower is better \| \| `latency` \| 5286.504 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.13 pp sourcePopulation 23 stderr 3.128 tokenTotals {"cache_read_tokens":1791878139,"cache_write_tokens":36294376,"input_tokens":1828192015,"output_tokens":12132196,"reasoning_tokens":4524551} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label openai/gpt-6-astra Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/openai~1gpt-6-astra` | | | | | | | | 4 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol-max.md)Max | 75.14% | SE ±3.61 pp | $9.94 | 6,157.94source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 75.136 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 9.938473 \| USD \| per_test \| Lower is better \| \| `latency` \| 6157.942 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.61 pp sourcePopulation 23 stderr 3.609 tokenTotals {"cache_read_tokens":2110633678,"cache_write_tokens":30109934,"input_tokens":2140765806,"output_tokens":14016797,"reasoning_tokens":5851455} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label openai/gpt-6.1-sol Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/openai~1gpt-6.1-sol` | | | | | | | | 5 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon-high.md)High | 74.43% | SE ±4.51 pp | $44.64 | 8,400.23source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 74.429 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 44.644196 \| USD \| per_test \| Lower is better \| \| `latency` \| 8400.232 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 262144 provider Google reasoning Not reported Reasoning effort high Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.51 pp sourcePopulation 23 stderr 4.512 tokenTotals {"cache_read_tokens":7868600042,"cache_write_tokens":0,"input_tokens":8076346935,"output_tokens":26849639,"reasoning_tokens":5541747} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label google/gemini-4-argon Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/google~1gemini-4-argon` | | | | | | | | 6 | [Muse Wonder](https://benchize.com/models/muse-wonder-max.md)Max | 69.78% | SE ±4.04 pp | $47.55 | 9,687.18source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 69.781 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 47.552905 \| USD \| per_test \| Lower is better \| \| `latency` \| 9687.179 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 131072 provider Meta reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.04 pp sourcePopulation 23 stderr 4.035 tokenTotals {"cache_read_tokens":11889714692,"cache_write_tokens":0,"input_tokens":11958750391,"output_tokens":23001800,"reasoning_tokens":10801141} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label meta/muse-wonder Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/meta~1muse-wonder` | | | | | | | | 7 | [DeepSeek V4.1 Flash 1017](https://benchize.com/models/deepseek-v4-1-flash-1017-max.md)Max | 68.5% | SE ±3.48 pp | $1.57 | 8,133.07source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 68.5 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.572628 \| USD \| per_test \| Lower is better \| \| `latency` \| 8133.069 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 384000 provider DeepSeek reasoning Not reported Reasoning effort max Temperature 1 topP 1 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.48 pp sourcePopulation 23 stderr 3.476 tokenTotals {"cache_read_tokens":11164665216,"cache_write_tokens":0,"input_tokens":11188739656,"output_tokens":22875100,"reasoning_tokens":10958121} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label deepseek/deepseek-v4.1-flash-1017 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/deepseek~1deepseek-v4.1-flash-1017` | | | | | | | | 8 | [DeepSeek V4 Pro 0813](https://benchize.com/models/deepseek-v4-pro-0813-max.md)Max | 52.03% | SE ±3.36 pp | $11.81 | 10,883.53source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 52.028 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 11.806673 \| USD \| per_test \| Lower is better \| \| `latency` \| 10883.534 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 384000 provider DeepSeek reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.36 pp sourcePopulation 23 stderr 3.359 tokenTotals {"cache_read_tokens":14118838528,"cache_write_tokens":0,"input_tokens":14146599509,"output_tokens":27289057,"reasoning_tokens":11810197} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label deepseek/deepseek-v4-pro-0813 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/deepseek~1deepseek-v4-pro-0813` | | | | | | | | 9 | [Claude Haiku 5.5](https://benchize.com/models/claude-haiku-5-5-max.md)Max | 50.2% | SE ±4.21 pp | $6.13 | 5,148.21source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 50.199 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 6.130933 \| USD \| per_test \| Lower is better \| \| `latency` \| 5148.212 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.21 pp sourcePopulation 23 stderr 4.208 tokenTotals {"cache_read_tokens":5550232078,"cache_write_tokens":58450205,"input_tokens":5608709357,"output_tokens":30123861,"reasoning_tokens":17474500} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label anthropic/claude-haiku-5-5 Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/anthropic~1claude-haiku-5-5` | | | | | | | | 10 | [MiniMax M3.1 Flash](https://benchize.com/models/minimax-m3-1-flash-max.md)Max | 48.2% | SE ±3.35 pp | $1.73 | 7,363.87source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 48.195 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.729595 \| USD \| per_test \| Lower is better \| \| `latency` \| 7363.872 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 262144 provider MiniMax reasoning Not reported Reasoning effort max Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±3.35 pp sourcePopulation 23 stderr 3.35 tokenTotals {"cache_read_tokens":6202642760,"cache_write_tokens":0,"input_tokens":6238818064,"output_tokens":20288643,"reasoning_tokens":12068935} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label minimax/MiniMax-M3.1-flash Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/minimax~1MiniMax-M3.1-flash` | | | | | | | | 11 | [MiMo-V2.6-Pro](https://benchize.com/models/mimo-v2-6-pro.md) | 47.07% | SE ±4.71 pp | $0.89 | 12,258.71source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 47.073 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.891745 \| USD \| per_test \| Lower is better \| \| `latency` \| 12258.712 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.71 pp sourcePopulation 23 stderr 4.707 tokenTotals {"cache_read_tokens":4569710080,"cache_write_tokens":0,"input_tokens":4617068362,"output_tokens":21009209,"reasoning_tokens":12444641} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label xiaomi/mimo-v2.6-pro Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/xiaomi~1mimo-v2.6-pro` | | | | | | | | 12 | [GPT-6 Luna](https://benchize.com/models/gpt-6-luna-max.md)Max | 45.45% | SE ±4.22 pp | $0.71 | 3,543.58source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 45.451 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.708851 \| USD \| per_test \| Lower is better \| \| `latency` \| 3543.575 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.22 pp sourcePopulation 23 stderr 4.218 tokenTotals {"cache_read_tokens":2166536585,"cache_write_tokens":21964120,"input_tokens":2188525650,"output_tokens":12053918,"reasoning_tokens":7187113} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label openai/gpt-6-luna Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/openai~1gpt-6-luna` | | | | | | | | 13 | [MiMo-V2.6-Flash](https://benchize.com/models/mimo-v2-6-flash.md) | 38.76% | SE ±4.31 pp | $0.61 | 14,739.11source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 38.764 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.612992 \| USD \| per_test \| Lower is better \| \| `latency` \| 14739.113 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider Xiaomi reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.31 pp sourcePopulation 23 stderr 4.306 tokenTotals {"cache_read_tokens":7915208384,"cache_write_tokens":0,"input_tokens":7977445980,"output_tokens":31336095,"reasoning_tokens":18580673} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label xiaomi/mimo-v2.6-flash Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/xiaomi~1mimo-v2.6-flash` | | | | | | | | 14 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash-high.md)High | 38.17% | SE ±4.28 pp | $16.63 | 7,443.73source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 38.173 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 16.6269 \| USD \| per_test \| Lower is better \| \| `latency` \| 7443.728 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 65536 provider Google reasoning Not reported Reasoning effort high Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±4.28 pp sourcePopulation 23 stderr 4.282 tokenTotals {"cache_read_tokens":5518738671,"cache_write_tokens":0,"input_tokens":5623048121,"output_tokens":12806610,"reasoning_tokens":6251130} ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_vals_index.ye6C1wH2.json) Source Vals AI Original model label google/gemini-3.8-flash Source version 2.2 Observed 2026-10-21T16:45:49.430Z Evidence SHA-256 `0e95aee94cd2bf34bc4b43a8f4bb16c7817de138613c21011873fea4e0786b45` Source locator `/tasks/code_migration/google~1gemini-3.8-flash` | | | | | | | --- Cite as: Vals Index / code migration — Benchize, https://benchize.com/benchmarks/vals-ai%3Avals_index%3Acode_migration (retrieved 2026-10-21)