codestral:22b-v0.1-q8_0: benchmark scores, price and ranking

codestral:22b-v0.1-q8_0 from Mistral AI ranks #393 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.0), based on 1 benchmark results captured up to 2026-10-13.

Organisation
Mistral AI
Type
Frontier model
Open weights
No
Aggregate rank
#393 of 743 (score 48.0)

Across the 1 benchmark where at least ten models are scored, codestral:22b-v0.1-q8_0 is in the top 10% on 0 and in the top half on 0.

codestral:22b-v0.1-q8_0 benchmark results

codestral:22b-v0.1-q8_0 benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
Aider Code Editing48.1%#63 of 92Aider Aider Code Editing leaderboard2026-10-13

About codestral:22b-v0.1-q8_0

codestral:22b-v0.1-q8_0 is a frontier model from Mistral 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 codestral:22b-v0.1-q8_0 stands

On our aggregate score, codestral:22b-v0.1-q8_0 is #393 of 743 ranked models, around the middle of the table. Its score is 48.0; the scale is centred on 50, so it sits 2.0 points below the typical model. That beats 47% of the ranked field. Among the 44 ranked Mistral AI models it is #5. The next one up is Codestral-22B-v0.1-Q4_K_M at 48.0. The next one down is Mistral Large 4 (high) at 47.7.

codestral:22b-v0.1-q8_0, benchmark by benchmark

codestral:22b-v0.1-q8_0 lands below the middle on Aider Code Editing: 48.1%, #63 of 92, with 67% of the field scoring higher. Claude 3.5-Sonnet-20241022 leads at 84.2%; the closest result above is Codestral-22B-v0.1-Q4_K_M at 48.1%. It covers Aider official benchmark. The board median is 55.6%, so codestral:22b-v0.1-q8_0 is 7.5 points below it. Source: Aider Aider Code Editing leaderboard, captured 2026-10-13.

Reading these numbers

The 1 score on this page comes from 1 source: Aider Aider Code Editing leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. With 1 results the aggregate rank can move a lot when one new score arrives.

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