Mistral Large 2 (Nov 2024)
Mistral Large 2 (Nov 2024) (Mistral AI) was released on Nov 18, 2024. In the Epoch AI capability ranking (ECI), it ranks #168 out of 267 models, with 128.53. Against models of the same generation, its best result is on GPQA Diamond: 51.3%, #12 of 42.
Where Mistral Large 2 (Nov 2024) stands out and where it falls behind, by the numbers
Mistral Large 2 (Nov 2024) has published results on 10 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Feb 22, 2024 and Feb 16, 2025 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.
Where it stands out
Tests where it sits in the top third of its own generation.
Where it falls behind
Tests where it sits in the bottom half of its own generation.
See all 10 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 51.3% | #12 / 42 | #127 / 173 | 96.4% Gemini 4 Argon |
| AIME 2024 and 2025 (OTIS) | 8.5% | #13 / 36 (tied with 1) | #135 / 168 | 100.0% GPT-5.5 |
| Dtbench | 61.2% | #11 / 30 | #113 / 148 | 98.9% Claude Opus 5.5 |
| MMLU | 80.0% | #15 / 45 | #17 / 92 | 88.1% GPT-4o (May 2024) |
| SimpleBench | 22.5% | #10 / 15 | #68 / 74 | 81.9% Claude Fable 5 |
| MATH level 5 | 50.3% | #17 / 39 | #42 / 73 | 98.1% GPT-5 |
| FrontierMath | 0.3% | #8 / 11 (tied with 2) | #61 / 65 | 51.7% GPT-5.5 |
| ForecastBench | 57.10 | #10 / 14 (tied with 1) | #52 / 62 | 62.50 o3 |
| Creative writing (Lech Mazur) | 6.90 | #7 / 13 | #31 / 38 | 8.60 GPT-5 |
| LiveBench | 48.43 | #12 / 23 | #20 / 32 | 82.35 Gemini 2.5 Pro (Jun 2025) |
For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.
What to compare Mistral Large 2 (Nov 2024) with
The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.
| Model | Lab | ECI | ELO | LiveBench | Release |
|---|---|---|---|---|---|
| GPT-4.1 nano | OpenAI | 129.63 | n/a | n/a | Apr 14, 2025 |
| Gemini 1.5 Flash (Sep 2024) | Google DeepMind | 129.37 | n/a | n/a | Sep 24, 2024 |
| GPT-4o (May 2024) | OpenAI | 129.05 | n/a | n/a | May 13, 2024 |
| Qwen2.5-72B | Alibaba | 129.00 | n/a | n/a | Sep 19, 2024 |
| Llama 3.1-405B | Meta AI | 128.76 | n/a | n/a | Jul 23, 2024 |
| Qwen2.5-32B | Alibaba | 128.53 | n/a | n/a | Sep 17, 2024 |
| Mistral Large 2 (Nov 2024) | Mistral AI | 128.53 | n/a | n/a | Nov 18, 2024 |
Mistral Large 2 (Nov 2024) or Llama 3.1-405B?
Llama 3.1-405B is the model from another lab closest to Mistral Large 2 (Nov 2024) in capability. Across the 7 tests both took, this is the score:
| Test | Mistral Large 2 (Nov 2024) | Llama 3.1-405B |
|---|---|---|
| AIME 2024 and 2025 (OTIS) | 8.5% | 9.7% |
| MMLU | 80.0% | 84.5% |
| ForecastBench | 57.10 | 59.90 |
| SimpleBench | 22.5% | 23.0% |
| MATH level 5 | 50.3% | 49.8% |
| GPQA Diamond | 51.3% | 50.9% |
| Dtbench | 61.2% | 61.4% |
Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.
Other models from Mistral AI
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| Mistral Small 3.2 | Jun 20, 2025 | 131.75 | n/a | n/a | Open weights (unrestricted) |
| Magistral Small 1.0 | Jun 10, 2025 | 133.20 | n/a | n/a | Open weights (unrestricted) |
| Mistral Medium 3 | May 7, 2025 | 134.06 | n/a | n/a | API access |
| Mistral Small 3.1 | Mar 17, 2025 | 127.49 | n/a | n/a | Open weights (unrestricted) |
| Mistral Small 3 | Jan 30, 2025 | 127.08 | n/a | n/a | Open weights (unrestricted) |
| Mistral Large 2 (Nov 2024) | Nov 18, 2024 | 128.53 | n/a | n/a | Open weights (non-commercial) |
| Ministral 3B | Oct 16, 2024 | 118.12 | n/a | n/a | API access |
| Mistral NeMo | Jul 18, 2024 | 118.71 | n/a | n/a | Open weights (unrestricted) |
| Mistral 7B v0.3 | May 27, 2024 | 109.06 | n/a | n/a | Open weights (unrestricted) |
Have you used Mistral Large 2 (Nov 2024)? Rate it
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What people ask about Mistral Large 2 (Nov 2024)
Where does Mistral Large 2 (Nov 2024) rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Mistral Large 2 (Nov 2024) ranks #168 out of 267 models, with an ECI of 128.53. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.
Is Mistral Large 2 (Nov 2024) better than Llama 3.1-405B?
Across the 7 tests both models took and Epoch AI compiled, Mistral Large 2 (Nov 2024) comes out ahead on 2, behind on 5 and tied on 0. It is a test-by-test count with no weighting: a win in math counts the same as a win in coding. To choose between the two, look at the tests that resemble your own use.
What is Mistral Large 2 (Nov 2024) best at?
Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of Mistral Large 2 (Nov 2024) are: GPQA Diamond (#12 of 42); MMLU (#15 of 45). The yardstick is its position among the models of that period that took the same test.
Where do the numbers on this page come from?
From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.
Where each number comes from
Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.
The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.
LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.
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