open-mistral-nemo-2407: benchmark scores, price and ranking
open-mistral-nemo-2407 from Mistral AI ranks #567 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.6), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Mistral AI
- Type
- Frontier model
- Open weights
- No
- Released
- 2024-07-18 (source: epoch)
- Aggregate rank
- #567 of 743 (score 45.6)
Across the 1 benchmark where at least ten models are scored, open-mistral-nemo-2407 is in the top 10% on 0 and in the top half on 0.
open-mistral-nemo-2407 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| GPQA Diamond | 29.9% | #251 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
About open-mistral-nemo-2407
open-mistral-nemo-2407 is a frontier model from Mistral AI. It was released on 2024-07-18, according to Epoch AI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where open-mistral-nemo-2407 stands
On our aggregate score, open-mistral-nemo-2407 is #567 of 743 ranked models, in the lower half. Its score is 45.6; the scale is centred on 50, so it sits 4.4 points below the typical model. That beats 24% of the ranked field. Among the 44 ranked Mistral AI models it is #22. The next one up is Mixtral-8x7B-Instruct-v0.1 at 45.7. The next one down is ollama/mistral-nemo:12b-instruct-2407-q4_K_M at 45.6.
open-mistral-nemo-2407, benchmark by benchmark
GPQA Diamond is a weak spot. open-mistral-nemo-2407 scores 29.9%, #251 of 275, behind 91% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so open-mistral-nemo-2407 is 41.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Release history
The Mistral AI model released before it was Mistral-Nemo-Instruct-2407 on 2024-07-18, which scores 45.2. The next one was mistral-large-2407 on 2024-07-24, at 43.3.
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #564 MiMo-V2-Flash (45.6)
- #565 Llama 4 Scout Instruct (45.6)
- #566 MiniMax-M3 (45.6)
- #568 MiniMax-M2.7 (45.6)
- #569 ollama/mistral-nemo:12b-instruct-2407-q4_K_M (45.6)
- #570 Llama 4 Maverick (FP8) (45.6)
More from Mistral AI
- Mistral Large 2 (2407) (#231, 49.9)
- codestral-2405 (#352, 48.4)
- pixtral-large-2411 (#360, 48.3)
- Codestral-22B-v0.1-Q4_K_M (#392, 48.0)
- codestral:22b-v0.1-q8_0 (#393, 48.0)
- Mistral Large 4 (high) (#411, 47.7)
Compare it on the live leaderboard → · How the aggregate score works