Model Comparison

Devstral Small 1.1 vs Jamba 1.5 Mini

Comparing Devstral Small 1.1 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

Devstral Small 1.1 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

Devstral Small 1.1 costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 2.0x cheaper than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 1.3x cheaper than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
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

28.0B diff

Jamba 1.5 Mini has 28.0B more parameters than Devstral Small 1.1, making it 116.7% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
24.0B
Devstral Small 1.1
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Devstral Small 1.1's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, 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.

Devstral Small 1.1

Apache 2.0

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Jamba 1.5 Mini was released on 2024-08-22.

Devstral Small 1.1 is 11 months newer than Jamba 1.5 Mini.

Devstral Small 1.1

Jul 11, 2025

9 months ago

10mo newer
Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Devstral Small 1.1'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 Devstral Small 1.1's cutoff date.

Devstral Small 1.1

—

Jamba 1.5 Mini

Mar 2024

Provider Availability

Devstral Small 1.1 is available from Mistral AI. Jamba 1.5 Mini is available from Bedrock, Google.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
* 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 (256,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about Devstral Small 1.1 vs Jamba 1.5 Mini

Devstral Small 1.1 (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.
Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.
Devstral Small 1.1 is 2.0x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.
Devstral Small 1.1 supports 128K 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 context window (128K vs 256K), input pricing ($0.10 vs $0.20/M), licensing (Apache 2.0 vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.
Devstral Small 1.1 is developed by Mistral AI and Jamba 1.5 Mini is developed by AI21 Labs.