Model Comparison

Jamba 1.5 Mini vs Pixtral-12B

Jamba 1.5 Mini significantly outperforms across most benchmarks. Pixtral-12B is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Jamba 1.5 Mini outperforms in 1 benchmarks (MMLU), while Pixtral-12B is better at 0 benchmarks.

Jamba 1.5 Mini significantly outperforms across most benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral-12B costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 1.3x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 2.7x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Pixtral-12B.*

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

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

39.6B diff

Jamba 1.5 Mini has 39.6B more parameters than Pixtral-12B, making it 319.4% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
52.0B
Jamba 1.5 Mini
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to Pixtral-12B's 128,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while Pixtral-12B is limited to 8,192 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral-12B supports multimodal inputs, whereas Jamba 1.5 Mini does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Jamba 1.5 Mini

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Jamba 1.5 Mini is licensed under Jamba Open Model License, while Pixtral-12B uses Apache 2.0.

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

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Pixtral-12B was released on 2024-09-17.

Pixtral-12B is 1 month newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

1.7 years ago

Pixtral-12B

Sep 17, 2024

1.6 years ago

3w newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Pixtral-12B'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 Pixtral-12B's cutoff date.

Jamba 1.5 Mini

Mar 2024

Pixtral-12B

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Pixtral-12B is available from Mistral AI.

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

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,144 tokens)
Higher MMLU score (69.7% vs 69.2%)
Mistral AI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Mini
Mistral AI
Pixtral-12B

FAQ

Common questions about Jamba 1.5 Mini vs Pixtral-12B

Jamba 1.5 Mini significantly outperforms across most benchmarks. Jamba 1.5 Mini is made by AI21 Labs and Pixtral-12B is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
Pixtral-12B is 1.3x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.
Jamba 1.5 Mini supports 256K tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (256K vs 128K), input pricing ($0.20 vs $0.15/M), multimodal support (no vs yes), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Mini is developed by AI21 Labs and Pixtral-12B is developed by Mistral AI.