Codestral-22B-v0.1-Q4_K_M: benchmark scores, price and ranking
Codestral-22B-v0.1-Q4_K_M from Mistral AI ranks #392 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
- #392 of 743 (score 48.0)
Across the 1 benchmark where at least ten models are scored, Codestral-22B-v0.1-Q4_K_M is in the top 10% on 0 and in the top half on 0.
Codestral-22B-v0.1-Q4_K_M benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Aider Code Editing | 48.1% | #62 of 92 | Aider Aider Code Editing leaderboard | 2026-10-13 |
About Codestral-22B-v0.1-Q4_K_M
Codestral-22B-v0.1-Q4_K_M 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-Q4_K_M stands
On our aggregate score, Codestral-22B-v0.1-Q4_K_M is #392 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 #4. The next one up is pixtral-large-2411 at 48.3. The next one down is codestral:22b-v0.1-q8_0 at 48.0.
Codestral-22B-v0.1-Q4_K_M, benchmark by benchmark
Codestral-22B-v0.1-Q4_K_M lands below the middle on Aider Code Editing: 48.1%, #62 of 92, with 66% of the field scoring higher. Claude 3.5-Sonnet-20241022 leads at 84.2%; the closest result above is llama3-70b-8192 at 49.2%. It covers Aider official benchmark. The board median is 55.6%, so Codestral-22B-v0.1-Q4_K_M 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.
Models ranked nearby
- #389 DeepSeek-R1 (48.0)
- #390 qwen3-coder-plus (48.0)
- #391 Codex + GPT-6 Luna (48.0)
- #393 codestral:22b-v0.1-q8_0 (48.0)
- #394 qwen3-4b (47.9)
- #395 DeepSeek-R1-Distill-Qwen-32B (47.9)
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-q8_0 (#393, 48.0)
- Mistral Large 4 (high) (#411, 47.7)
- ollama/codestral (#414, 47.6)
Compare it on the live leaderboard → · How the aggregate score works