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Codestral-22B vs Nova Micro

Codestral-22B and Nova Micro are closely matched at 0.1 and 2.5 on the LLM Stats Score.

Mistral AI · Amazon · Updated for 2026

Which is better?

Codestral-22B and Nova Micro are closely matched on the overall LLM Stats Score at 0.1 and 2.5.

In the 1 individual benchmarks reported for both models, Nova Micro wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

  • you need open weights you can self-host or fine-tune

Choose Nova Micro

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Nov 2024

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Nova Micro
Amazon
Core performance indexes
LLM Stats Score
0.1
#314
2.5
#303
Reasoning
-0.0
#307
1.6
#297
Coding
2.5
#218
2.7
#216
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.03 / M
Output price
— / M
$0.14 / M
Context window
—
128,000

Individual benchmarks

7 reported for Codestral-22B · 17 for Nova Micro

1 shared

Codestral-22B outperforms in 0 benchmarks, while Nova Micro is better at 0 benchmarks.

Both models are evenly matched across the benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Nova Micro specifies input context (128,000 tokens). Only Nova Micro specifies output context (128,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Amazon
Nova Micro
Input128,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Nova Micro uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

Nova Micro

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Nova Micro was released on 2024-11-20.

Nova Micro is 6 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.3 years ago

Nova Micro

Nov 20, 2024

1.8 years ago

5mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Codestral-22B and Nova Micro side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Nova Micro
Open in Playground

FAQ

Common questions about Codestral-22B vs Nova Micro.

Which is better, Codestral-22B or Nova Micro?

Codestral-22B and Nova Micro are closely matched on the LLM Stats Score at 0.1 and 2.5. Codestral-22B is made by Mistral AI and Nova Micro is made by Amazon. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Nova Micro in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Nova Micro scores GSM8k: 92.3%, ARC-C: 90.2%, Translation Set1→en COMET22: 88.7%, Translation en→Set1 COMET22: 88.5%, IFEval: 87.2%.

What are the context window sizes for Codestral-22B and Nova Micro?

Codestral-22B supports an unknown number of tokens and Nova Micro supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Codestral-22B and Nova Micro?

Key differences include LLM Stats Score (0.1 vs 2.5), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Nova Micro?

Codestral-22B is developed by Mistral AI and Nova Micro is developed by Amazon.

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