# Rapidata Text-to-3D with LLM code — Alignment

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Human pairwise evaluation of llm-to-3d outputs, measuring alignment. Scores are fitted using the Bradley–Terry preference model and expressed on the publisher’s Elo scale with 95% confidence intervals.

Canonical URL: https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Arlb_1YVpXug2nDeUlV
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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Human pairwise evaluation of llm-to-3d outputs, measuring alignment. Scores are fitted using the Bradley–Terry preference model and expressed on the publisher’s Elo scale with 95% confidence intervals.

Multimodal · Models tested: 9 · Score publishers: [rapidata](https://www.benchmark.ai/text-to-3d-code)

## Model results

| # | Model | Score | ± |  |
| --- | --- | --- | --- | --- |
| 1 | [GPT-6 Astra](https://benchize.com/models/gpt-6-astra.md) | 1,601.59elo | CI 1,574.75–1,628.44 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1601.5911749599952 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXvemRZ4Nlp sourceModelVersion gpt-6-astra weighted false ### Reported statistics Uncertainty Confidence interval: 1,574.75–1,628.44 confidenceIntervalLowerOffset 26.84419869707085 confidenceIntervalUpperOffset 26.84419869707085 totalMatches 5395 wins 4305.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label gpt-6-astra Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/0` |  |  |  |  |
| 2 | [Gemini 4 Argon](https://benchize.com/models/gemini-4-argon.md) | 1,576.04elo | CI 1,542.84–1,609.23 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1576.036405778354 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXvedTGpH53 sourceModelVersion gemini-4-argon weighted false ### Reported statistics Uncertainty Confidence interval: 1,542.84–1,609.23 confidenceIntervalLowerOffset 33.19681294893235 confidenceIntervalUpperOffset 33.19681294893235 totalMatches 3614 wins 2834 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label gemini-4-argon Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/1` |  |  |  |  |
| 3 | [GPT-6.1 Sol](https://benchize.com/models/gpt-6-1-sol.md) | 1,500.92elo | CI 1,475.26–1,526.58 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1500.918474311148 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXvfsEuvB3T sourceModelVersion gpt-6.1-sol weighted false ### Reported statistics Uncertainty Confidence interval: 1,475.26–1,526.58 confidenceIntervalLowerOffset 25.657603197709477 confidenceIntervalUpperOffset 25.657603197709477 totalMatches 5227 wins 3946 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label gpt-6.1-sol Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/2` |  |  |  |  |
| 4 | [Claude Opus 5.5](https://benchize.com/models/claude-opus-5-5.md) | 1,357.94elo | CI 1,334.39–1,381.49 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1357.9360469806122 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXvedltQA8Z sourceModelVersion claude-opus-5.5 weighted false ### Reported statistics Uncertainty Confidence interval: 1,334.39–1,381.49 confidenceIntervalLowerOffset 23.550160480894874 confidenceIntervalUpperOffset 23.5501604808951 totalMatches 5395 wins 3700 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label claude-opus-5.5 Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/3` |  |  |  |  |
| 5 | [Muse Wonder](https://benchize.com/models/muse-wonder.md) | 1,331.09elo | CI 1,302.94–1,359.25 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1331.0920671429294 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXveRslXzKE sourceModelVersion muse-wonder weighted false ### Reported statistics Uncertainty Confidence interval: 1,302.94–1,359.25 confidenceIntervalLowerOffset 28.15387868990456 confidenceIntervalUpperOffset 28.15387868990456 totalMatches 3614 wins 2429 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label muse-wonder Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/4` |  |  |  |  |
| 6 | [Claude Fable 5.1](https://benchize.com/models/claude-fable-5-1.md) | 1,146.26elo | CI 1,123.59–1,168.93 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1146.2572478789407 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXvfuPGpmZq sourceModelVersion claude-fable-5.1 weighted false ### Reported statistics Uncertainty Confidence interval: 1,123.59–1,168.93 confidenceIntervalLowerOffset 22.67094191416345 confidenceIntervalUpperOffset 22.67094191416345 totalMatches 5226 wins 3017 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label claude-fable-5.1 Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/5` |  |  |  |  |
| 7 | [Gemini 3.8 Flash](https://benchize.com/models/gemini-3-8-flash.md) | 1,052.44elo | CI 1,029.39–1,075.49 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 1052.441636750989 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXveBCmZ20L sourceModelVersion gemini-3.8-flash weighted false ### Reported statistics Uncertainty Confidence interval: 1,029.39–1,075.49 confidenceIntervalLowerOffset 23.04792287730902 confidenceIntervalUpperOffset 23.04792287730902 totalMatches 5383 wins 2820 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label gemini-3.8-flash Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/6` |  |  |  |  |
| 8 | [Grok 4.7](https://benchize.com/models/grok-4-7.md) | 976.09elo | CI 954.17–998.01 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 976.0870766048251 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXved0wJJIV sourceModelVersion grok-4.7 weighted false ### Reported statistics Uncertainty Confidence interval: 954.17–998.01 confidenceIntervalLowerOffset 21.92160711058341 confidenceIntervalUpperOffset 21.92160711058341 totalMatches 5395 wins 2598.5 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label grok-4.7 Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/7` |  |  |  |  |
| 9 | [DeepSeek V4 Pro](https://benchize.com/models/deepseek-v4-pro.md) | 354.16elo | CI 326–382.32 |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `elo` \| 354.16216337505136 \| elo \| rlb_1YVpXug2nDeUlV \| Higher is better \| ### Configuration benchmarkId bmk_1YVpXgN69Mv8I9 criterion rlb_1YVpXug2nDeUlV participantId par_1YVpXvfRUxkGSG sourceModelVersion deepseek-v4-pro weighted false ### Reported statistics Uncertainty Confidence interval: 326–382.32 confidenceIntervalLowerOffset 28.158066988117525 confidenceIntervalUpperOffset 28.158066988117525 totalMatches 5231 wins 948 ### Source [Original source](https://api.rapidata.ai/benchmark/bmk_1YVpXgN69Mv8I9/standings/query?leaderboard_id%5Beq%5D=rlb_1YVpXug2nDeUlV) Source rapidata Original model label deepseek-v4-pro Source version Observed 2026-10-21T16:37:42.991Z Evidence SHA-256 `a2223beea99910879fd4c5ded70604d3d62dcff1f04a3b617d13f28f03a75948` Source locator `/items/13` |  |  |  |  |

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Cite as: Rapidata Text-to-3D with LLM code — Alignment — Benchize, https://benchize.com/benchmarks/rapidata%3Atext-to-3d-code%3Arlb_1YVpXug2nDeUlV (retrieved 2026-10-21)
