# Qwen3 14B

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Alibaba

Canonical URL: https://benchize.com/models/qwen3-14b
Last updated: Thu, 22 Oct 2026 05:30:58 GMT

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Alibaba

## Benchmarks

| Benchmark | Score | ± | Rank | Cost | Latency | Source |  |
| --- | --- | --- | --- | --- | --- | --- | --- |
| [Longform Creative Writing](https://benchize.com/benchmarks/eq-bench%3Alongform-writing.md) | 35.9% | — | 82 / 93 | — | — | [eq bench · longform-writing](https://eqbench.com/creative_writing_longform.js) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `overall_score_100` \| 35.9 \| percent \| overall \| Higher is better \| \| `chapter1_avg` \| 9.58 \| rubric_score \| overall \| Higher is better \| \| `chapter2_avg` \| 9.13 \| rubric_score \| overall \| Higher is better \| \| `chapter3_avg` \| 8.50 \| rubric_score \| overall \| Higher is better \| \| `chapter4_avg` \| 7.77 \| rubric_score \| overall \| Higher is better \| \| `chapter5_avg` \| 7.00 \| rubric_score \| overall \| Higher is better \| \| `chapter6_avg` \| 6.86 \| rubric_score \| overall \| Higher is better \| \| `chapter7_avg` \| 6.20 \| rubric_score \| overall \| Higher is better \| \| `chapter8_avg` \| 5.11 \| rubric_score \| overall \| Higher is better \| \| `final_judgement_avg` \| 5.22 \| rubric_score \| overall \| Higher is better \| ### Configuration interactiveAdjustments none protocol longform-writing sourceModelVersion qwen/qwen3-14b ### Source [Original source](https://eqbench.com/creative_writing_longform.js) Source eq bench Original model label qwen/qwen3-14b Source version longform-writing Observed 2026-10-22T05:10:05.903Z Evidence SHA-256 `3ba283ce357ac7620e16db640a961879c30fe3ddc50a27de9a8ed4290784825c` Source locator `/leaderboardDataLongformV3/67` |  |  |  |  |  |  |  |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 66.39% | SE ±6.19 pp | 79 / 124 | — | — | [epoch ai · OTIS Mock AIME 2024-2025](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.6638888888888889 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.6638888888888889 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3-14b ### Reported statistics Uncertainty Standard error: ±6.19 pp standardError 0.06190655406811223 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label qwen3-14b Source version OTIS Mock AIME 2024-2025 Evaluated 2026-08-28T16:54:14.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/43` |  |  |  |  |  |  |  |
| [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,296 | — | 114 / 191 | — | — | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1296 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_qwen_qwen3_14b ### Reported statistics coverageCount 27 draws 0 judged 12 losses 10 rank 173 ratingDeviation 67 wins 2 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label Qwen3 14B Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/164` |  |  |  |  |  |  |  |
| [Berkeley Function Calling Leaderboard](https://benchize.com/benchmarks/bfcl%3Aoverall.md) | 37.77% | — | 14 / 26 | $1.35 | 1.2s | [Berkeley Function Calling Leaderboard](https://api.github.com/repos/HuanzhiMao/BFCL-Result/contents/2025-12-16/score/data_overall.csv?ref=cadd76a8dc62984e7bf15ecaf358f070bae745cc) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 37.77 \| percent \| reported \| Higher is better \| \| `cost_total` \| 1.35 \| USD \| evaluation_total \| Lower is better \| \| `latency_mean` \| 1.2 \| seconds \| per_call_mean \| Lower is better \| \| `latency_sd` \| 8.5 \| seconds \| per_call_sd \| Lower is better \| \| `non_live_ast_acc` \| 89.46 \| percent \| reported_task_score \| Higher is better \| \| `non_live_simple_ast` \| 76.83 \| percent \| reported_task_score \| Higher is better \| \| `non_live_multiple_ast` \| 93.5 \| percent \| reported_task_score \| Higher is better \| \| `non_live_parallel_ast` \| 95.5 \| percent \| reported_task_score \| Higher is better \| \| `non_live_parallel_multiple_ast` \| 92 \| percent \| reported_task_score \| Higher is better \| \| `live_acc` \| 79.35 \| percent \| reported_task_score \| Higher is better \| \| `live_simple_ast` \| 84.5 \| percent \| reported_task_score \| Higher is better \| \| `live_multiple_ast` \| 78.06 \| percent \| reported_task_score \| Higher is better \| \| `live_parallel_ast` \| 87.5 \| percent \| reported_task_score \| Higher is better \| \| `live_parallel_multiple_ast` \| 75 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_acc` \| 26.13 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_base` \| 16.5 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_miss_func` \| 37.5 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_miss_param` \| 31 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_long_context` \| 19.5 \| percent \| reported_task_score \| Higher is better \| \| `web_search_acc` \| 10.5 \| percent \| reported_task_score \| Higher is better \| \| `web_search_base` \| 6 \| percent \| reported_task_score \| Higher is better \| \| `web_search_no_snippet` \| 15 \| percent \| reported_task_score \| Higher is better \| \| `memory_acc` \| 11.18 \| percent \| reported_task_score \| Higher is better \| \| `memory_kv` \| 4.52 \| percent \| reported_task_score \| Higher is better \| \| `memory_vector` \| 6.45 \| percent \| reported_task_score \| Higher is better \| \| `memory_recursive_summarization` \| 22.58 \| percent \| reported_task_score \| Higher is better \| \| `relevance_detection` \| 81.25 \| percent \| reported_task_score \| Higher is better \| \| `irrelevance_detection` \| 87.18 \| percent \| reported_task_score \| Higher is better \| \| `latency_p95` \| 2.3 \| seconds \| per_call_p95 \| Lower is better \| ### Configuration mode Prompt sourceRelease 2025-12-16 ### Reported statistics rank 47 ### Source [Original source](https://api.github.com/repos/HuanzhiMao/BFCL-Result/contents/2025-12-16/score/data_overall.csv?ref=cadd76a8dc62984e7bf15ecaf358f070bae745cc) Source Berkeley Function Calling Leaderboard Original model label Qwen3-14B Observed 2026-10-22T02:40:09.731Z Evidence SHA-256 `ede5081a24bc5ac7f9b3b09a52af6bcfcd35aa0f1709239fed979db77a8159a6` Source locator `/rows/47` |  |  |  |  |  |  |  |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 63.76% | SE ±2.93 pp | 93 / 126 | — | — | [epoch ai · GPQA diamond](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `score` \| 0.6376262626262627 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.6376262626262627 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen3-14b ### Reported statistics Uncertainty Standard error: ±2.93 pp standardError 0.02931953778086544 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label qwen3-14b Source version GPQA diamond Evaluated 2026-08-28T16:53:49.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/37` |  |  |  |  |  |  |  |
| [Berkeley Function Calling Leaderboard](https://benchize.com/benchmarks/bfcl%3Aoverall.md) | 41.03% | — | 12 / 26 | $3.38 | 4.5s | [Berkeley Function Calling Leaderboard](https://api.github.com/repos/HuanzhiMao/BFCL-Result/contents/2025-12-16/score/data_overall.csv?ref=cadd76a8dc62984e7bf15ecaf358f070bae745cc) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 41.03 \| percent \| reported \| Higher is better \| \| `cost_total` \| 3.38 \| USD \| evaluation_total \| Lower is better \| \| `latency_mean` \| 4.5 \| seconds \| per_call_mean \| Lower is better \| \| `latency_sd` \| 18.84 \| seconds \| per_call_sd \| Lower is better \| \| `non_live_ast_acc` \| 84.94 \| percent \| reported_task_score \| Higher is better \| \| `non_live_simple_ast` \| 74.75 \| percent \| reported_task_score \| Higher is better \| \| `non_live_multiple_ast` \| 93 \| percent \| reported_task_score \| Higher is better \| \| `non_live_parallel_ast` \| 80 \| percent \| reported_task_score \| Higher is better \| \| `non_live_parallel_multiple_ast` \| 92 \| percent \| reported_task_score \| Higher is better \| \| `live_acc` \| 80.01 \| percent \| reported_task_score \| Higher is better \| \| `live_simple_ast` \| 85.66 \| percent \| reported_task_score \| Higher is better \| \| `live_multiple_ast` \| 79.01 \| percent \| reported_task_score \| Higher is better \| \| `live_parallel_ast` \| 68.75 \| percent \| reported_task_score \| Higher is better \| \| `live_parallel_multiple_ast` \| 70.83 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_acc` \| 34.75 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_base` \| 39 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_miss_func` \| 34 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_miss_param` \| 33.5 \| percent \| reported_task_score \| Higher is better \| \| `multi_turn_long_context` \| 32.5 \| percent \| reported_task_score \| Higher is better \| \| `web_search_acc` \| 10 \| percent \| reported_task_score \| Higher is better \| \| `web_search_base` \| 8 \| percent \| reported_task_score \| Higher is better \| \| `web_search_no_snippet` \| 12 \| percent \| reported_task_score \| Higher is better \| \| `memory_acc` \| 19.57 \| percent \| reported_task_score \| Higher is better \| \| `memory_kv` \| 7.1 \| percent \| reported_task_score \| Higher is better \| \| `memory_vector` \| 16.77 \| percent \| reported_task_score \| Higher is better \| \| `memory_recursive_summarization` \| 34.84 \| percent \| reported_task_score \| Higher is better \| \| `relevance_detection` \| 87.5 \| percent \| reported_task_score \| Higher is better \| \| `irrelevance_detection` \| 81.94 \| percent \| reported_task_score \| Higher is better \| \| `latency_p95` \| 13.34 \| seconds \| per_call_p95 \| Lower is better \| ### Configuration mode FC sourceRelease 2025-12-16 ### Reported statistics rank 43 ### Source [Original source](https://api.github.com/repos/HuanzhiMao/BFCL-Result/contents/2025-12-16/score/data_overall.csv?ref=cadd76a8dc62984e7bf15ecaf358f070bae745cc) Source Berkeley Function Calling Leaderboard Original model label Qwen3-14B Observed 2026-10-22T02:40:09.731Z Evidence SHA-256 `ede5081a24bc5ac7f9b3b09a52af6bcfcd35aa0f1709239fed979db77a8159a6` Source locator `/rows/43` |  |  |  |  |  |  |  |

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Cite as: Qwen3 14B — Benchize, https://benchize.com/models/qwen3-14b (retrieved 2026-10-22)