Model Comparison

Codestral-22B vs Jamba 1.5 Mini

Comparing Codestral-22B and Jamba 1.5 Mini across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Jamba 1.5 Mini don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 08 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

29.8B diff

Jamba 1.5 Mini has 29.8B more parameters than Codestral-22B, making it 134.2% larger.

Mistral AI
Codestral-22B
22.2Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
22.2B
Codestral-22B
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Mini specifies input context (256,144 tokens). Only Jamba 1.5 Mini specifies output context (256,144 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Wed Apr 08 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Jamba 1.5 Mini uses Jamba Open Model License.

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

Codestral-22B

MNPL-0.1

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Jamba 1.5 Mini was released on 2024-08-22.

Jamba 1.5 Mini is 3 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

1.9 years ago

Jamba 1.5 Mini

Aug 22, 2024

1.6 years ago

2mo newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Codestral-22B's cutoff date is not specified.

We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

—

Jamba 1.5 Mini

Mar 2024

Outputs Comparison

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Key Takeaways

Mistral AI
AI21 Labs
Larger context window (256,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Codestral-22B vs Jamba 1.5 Mini

Codestral-22B (Mistral AI) and Jamba 1.5 Mini (AI21 Labs) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.
Codestral-22B supports an unknown number of tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MNPL-0.1 vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Codestral-22B is developed by Mistral AI and Jamba 1.5 Mini is developed by AI21 Labs.