mistral-large-2402: benchmark scores, price and ranking

mistral-large-2402 from Mistral AI ranks #694 of 743 LLMs on the LLMs Tiger aggregate benchmark score (42.8), based on 3 benchmark results captured up to 2026-10-13.

Organisation: Mistral AI
Type: Frontier model
Open weights: No
Released: 2024-02-26 (source: epoch)
Cheapest API price: $8.00 in / $24.00 out per million tokens (via azure, observed 2026-10-13T20:47Z)
Aggregate rank: #694 of 743 (score 42.8)

Relative to other models, mistral-large-2402 is strongest on DTBench (#112 of 146) and weakest on OTIS Mock AIME (#175 of 189).

Across the 3 benchmarks where at least ten models are scored, mistral-large-2402 is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $8.00 per million tokens, is lower than that of 7% of the 427 models with a listed price.

mistral-large-2402 benchmark results

mistral-large-2402 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
DTBench	55.9%	#112 of 146	Epoch AI Benchmarking Hub	2026-10-13
GPQA Diamond	38.8%	#226 of 275	Epoch AI Benchmarking Hub	2026-10-13
OTIS Mock AIME	1.9%	#175 of 189	Epoch AI Benchmarking Hub	2026-10-13

About mistral-large-2402

mistral-large-2402 is a frontier model from Mistral AI. It was released on 2024-02-26, according to Epoch AI. The cheapest API listing we track charges $8.00 per million input tokens and $24.00 per million output tokens, through azure. We hold 3 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where mistral-large-2402 stands

On our aggregate score, mistral-large-2402 is #694 of 743 ranked models, in the lower half. Its score is 42.8; the scale is centred on 50, so it sits 7.2 points below the typical model. That beats 7% of the ranked field. Among the 44 ranked Mistral AI models it is #38. The next one up is open-mixtral-8x7b at 43.2. The next one down is Mistral Large 3 at 42.7.

mistral-large-2402, benchmark by benchmark

mistral-large-2402 lands below the middle on DTBench: 55.9%, #112 of 146, with 76% of the field scoring higher. Claude Opus 5.5 (max) leads at 98.9%; the closest result above is gemini-1.5-pro-001 at 56.5%. It covers dynamic tool-use benchmark. The board median is 68.8%, so mistral-large-2402 is 12.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

GPQA Diamond is a weak spot. mistral-large-2402 scores 38.8%, #226 of 275, behind 82% 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 mistral-large-2402 is 33.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

OTIS Mock AIME is a weak spot. mistral-large-2402 scores 1.9%, #175 of 189, behind 92% of the models measured. The leader, Claude Fable 5.1 (max), reaches 100.0%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so mistral-large-2402 is 55.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Reasoning, maths and science: weak, ahead of 13% of the field on average across 2 benchmarks. Its best board here is GPQA Diamond (#226 of 275) and its weakest is OTIS Mock AIME (#175 of 189).

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so mistral-large-2402 costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on gpt-4-turbo-2024-04-09 ($10.00) and claude-3-opus-20240229 ($15.00).

Release history

The Mistral AI model released before it was open-mixtral-8x7b on 2023-12-11, which scores 43.2. The next one was mistral-small-2402 on 2024-02-26, at 46.7.

Reading these numbers

The 3 scores on this page come from 1 source: Epoch AI Benchmarking Hub (3). No official leaderboard supplied any of them, so treat them as third-party measurements. With 3 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#691 gemma-2-9b-it (43.0)
#692 Llama-2-70b-chat-hf (42.9)
#693 SmolLM2-1.7B (42.9)
#695 gemini-1.5-flash-002 (42.8)
#696 deepseek-llm-67b-chat (42.8)
#697 Mistral Large 3 (42.7)