Model Comparison

Codestral-22B vs Jamba 1.5 Large

Comparing Codestral-22B and Jamba 1.5 Large 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 Large 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
Fri Apr 03 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
AI21 Labs
Jamba 1.5 Large
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

375.8B diff

Jamba 1.5 Large has 375.8B more parameters than Codestral-22B, making it 1692.8% larger.

Mistral AI
Codestral-22B
22.2Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
22.2B
Codestral-22B
398.0B
Jamba 1.5 Large

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Jamba 1.5 Large 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 Large

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 Large was released on 2024-08-22.

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

Codestral-22B

May 29, 2024

1.8 years ago

Jamba 1.5 Large

Aug 22, 2024

1.6 years ago

2mo newer

Knowledge Cutoff

When training data ends

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

We can confirm Jamba 1.5 Large'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 Large

Mar 2024

Outputs Comparison

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Key Takeaways

Mistral AI
AI21 Labs

Detailed Comparison

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

FAQ

Common questions about Codestral-22B vs Jamba 1.5 Large

Codestral-22B (Mistral AI) and Jamba 1.5 Large (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 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
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 Large is developed by AI21 Labs.