Model Comparison

Devstral Medium vs Jamba 1.5 Large

Comparing Devstral Medium 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

Devstral Medium 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

Devstral Medium costs less

For input processing, Devstral Medium ($0.40/1M tokens) is 5.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, Devstral Medium ($2.00/1M tokens) is 4.0x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Devstral Medium.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Devstral Medium's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Devstral Medium is limited to 128,000 tokens.

Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Fri May 01 2026 • llm-stats.com

License

Usage and distribution terms

Devstral Medium is licensed under a proprietary license, 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.

Devstral Medium

Proprietary

Closed source

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Devstral Medium was released on 2025-07-10, while Jamba 1.5 Large was released on 2024-08-22.

Devstral Medium is 11 months newer than Jamba 1.5 Large.

Devstral Medium

Jul 10, 2025

9 months ago

10mo newer
Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Devstral Medium'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 Devstral Medium's cutoff date.

Devstral Medium

—

Jamba 1.5 Large

Mar 2024

Provider Availability

Devstral Medium is available from Mistral AI. Jamba 1.5 Large is available from Bedrock, Google.

Devstral Medium

mistral logo
Mistral
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M

Jamba 1.5 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Mistral AI
Less expensive input tokens
Less expensive output tokens
AI21 Labs
Larger context window (256,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Medium
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Devstral Medium vs Jamba 1.5 Large

Devstral Medium (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.
Devstral Medium scores SWE-Bench Verified: 61.6%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.
Devstral Medium is 5.0x cheaper for input tokens. Devstral Medium costs $0.40/M input and $2.00/M output via mistral. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.
Devstral Medium supports 128K tokens and Jamba 1.5 Large supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 256K), input pricing ($0.40 vs $2.00/M), licensing (Proprietary vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Devstral Medium is developed by Mistral AI and Jamba 1.5 Large is developed by AI21 Labs.