# Qwen2.5 7B Instruct

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Alibaba

Canonical URL: https://benchize.com/models/qwen-2-5-7b-instruct
Last updated: Thu, 22 Oct 2026 06:30:09 GMT

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Alibaba

## Benchmarks

| Benchmark | Score | ± | Rank | Source |  |
| --- | --- | --- | --- | --- | --- |
| [OTIS Mock AIME 2024–2025](https://benchize.com/benchmarks/epoch-ai%3Aotis_mock_aime_2024_2025.md) | 2.5% | SE ±0.94 pp | 121 / 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` \| 0.025 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.025 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion OTIS Mock AIME 2024-2025 reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen2.5-7b-instruct ### Reported statistics Uncertainty Standard error: ±0.94 pp standardError 0.009401267913629434 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=otis_mock_aime_2024_2025.csv) Source epoch ai Original model label qwen2.5-7b-instruct Source version OTIS Mock AIME 2024-2025 Evaluated 2026-08-30T22:42:37.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `b7c9da8c0587c82f1e0d814ceb496c24308380b997a16203b6e5d39eb07f4f50` Source locator `/rows/28` |  |  |  |  |  |
| [SVGBench Arena](https://benchize.com/benchmarks/svgbench%3Aarena.md) | 1,291 | — | 141 / 191 | [svgbench](https://svgbench.ai/api/leaderboard?shape=2) |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `rating` \| 1291 \| rating \| reported \| Higher is better \| ### Configuration Reasoning effort unknown sourceModelId model_qwen_qwen_2_5_7b_instruct ### Reported statistics coverageCount 27 draws 0 judged 9 losses 8 rank 228 ratingDeviation 92 wins 1 ### Source [Original source](https://svgbench.ai/api/leaderboard?shape=2) Source svgbench Original model label Qwen2.5 7B Instruct Observed 2026-10-22T04:30:04.538Z Evidence SHA-256 `5c0a9c869593820d57d2c05f6d416e1b44a740b4835e66c66e9ad8b8edc59e2c` Source locator `/rows/217` |  |  |  |  |  |
| [GPQA Diamond](https://benchize.com/benchmarks/gpqa-diamond.md) | 35.48% | SE ±2.29 pp | 122 / 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` \| 0.3547979797979798 \| score_fraction \| Best score (across scorers) \| Higher is better \| \| `mean_score` \| 0.3547979797979798 \| score_fraction \| mean_score \| Higher is better \| ### Configuration benchmarkVersion GPQA diamond reasoningBudget Not reported Reasoning effort Not reported sourceModelVersion qwen2.5-7b-instruct ### Reported statistics Uncertainty Standard error: ±2.29 pp standardError 0.02291485990511179 ### Source [Original source](https://epoch.ai/data/benchmark_data.zip#file=gpqa_diamond.csv) Source epoch ai Original model label qwen2.5-7b-instruct Source version GPQA diamond Evaluated 2026-08-30T22:42:14.000Z Observed 2026-10-22T03:00:05.281Z Evidence SHA-256 `9ef0b938bdd8406b029d595983ee8ad3a80bd9d64b82605b91b5ce39ba650c39` Source locator `/rows/21` |  |  |  |  |  |

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Cite as: Qwen2.5 7B Instruct — Benchize, https://benchize.com/models/qwen-2-5-7b-instruct (retrieved 2026-10-22)