The AI arena is free today

Open Superagent

Codestral-22B vs DeepSeek R1 Distill Llama 8B

Codestral-22B and DeepSeek R1 Distill Llama 8B are closely matched at 0.5 and 7.5 on the LLM Stats Score.

Mistral AI · DeepSeek · Updated for 2026

Which is better?

Codestral-22B and DeepSeek R1 Distill Llama 8B are closely matched on the overall LLM Stats Score at 0.5 and 7.5.

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

Choose Codestral-22B

  • you are already invested in the Mistral AI ecosystem

Choose DeepSeek R1 Distill Llama 8B

  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
DeepSeek R1 Distill Llama 8B
DeepSeek
Core performance indexes
LLM Stats Score
0.5
#304
7.5
#270
Reasoning
0.4
#297
7.7
#261
Coding
2.6
#209
2.6
#208
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 4 for DeepSeek R1 Distill Llama 8B

No common benchmarks found

Codestral-22B and DeepSeek R1 Distill Llama 8Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

14.2B diff

Codestral-22B has 14.2B more parameters than DeepSeek R1 Distill Llama 8B, making it 176.5% larger.

Mistral AI
Codestral-22B
22.2Bparameters
DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
22.2B
Codestral-22B
8.0B
DeepSeek R1 Distill Llama 8B

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while DeepSeek R1 Distill Llama 8B uses MIT.

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

Codestral-22B

MNPL-0.1

Open weights

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while DeepSeek R1 Distill Llama 8B was released on 2025-01-20.

DeepSeek R1 Distill Llama 8B is 8 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.2 years ago

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.6 years ago

7mo 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 DeepSeek R1 Distill Llama 8B side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
DeepSeek R1 Distill Llama 8B
Open in Playground

FAQ

Common questions about Codestral-22B vs DeepSeek R1 Distill Llama 8B.

Which is better, Codestral-22B or DeepSeek R1 Distill Llama 8B?

Codestral-22B and DeepSeek R1 Distill Llama 8B are closely matched on the LLM Stats Score at 0.5 and 7.5. Codestral-22B is made by Mistral AI and DeepSeek R1 Distill Llama 8B is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to DeepSeek R1 Distill Llama 8B in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%.

What are the main differences between Codestral-22B and DeepSeek R1 Distill Llama 8B?

Key differences include LLM Stats Score (0.5 vs 7.5), licensing (MNPL-0.1 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and DeepSeek R1 Distill Llama 8B?

Codestral-22B is developed by Mistral AI and DeepSeek R1 Distill Llama 8B is developed by DeepSeek.

Related comparisons