Model Comparison

Jamba 1.5 Large vs Mistral Large 2

Mistral Large 2 significantly outperforms across most benchmarks. Mistral Large 2 is 1.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Mistral Large 2 is better at 2 benchmarks (GSM8k, MMLU).

Mistral Large 2 significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Large 2 costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) costs the same as Mistral Large 2 ($2.00/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 1.3x more expensive than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Mistral Large 2.*

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

Lowest available price from all providers
Sat May 09 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

275.0B diff

Jamba 1.5 Large has 275.0B more parameters than Mistral Large 2, making it 223.6% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
398.0B
Jamba 1.5 Large
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Mistral Large 2's 128,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Mistral Large 2 is limited to 128,000 tokens.

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Sat May 09 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Mistral Large 2 uses Mistral Research License.

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

Jamba 1.5 Large

Jamba Open Model License

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Mistral Large 2 was released on 2024-07-24.

Jamba 1.5 Large is 1 month newer than Mistral Large 2.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

4w newer
Mistral Large 2

Jul 24, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Mistral Large 2'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 Mistral Large 2's cutoff date.

Jamba 1.5 Large

Mar 2024

Mistral Large 2

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Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Mistral Large 2 is available from Google, Mistral AI.

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

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

AI21 Labs
Larger context window (256,000 tokens)
Mistral AI
Less expensive output tokens
Higher GSM8k score (93.0% vs 87.0%)
Higher MMLU score (84.0% vs 81.2%)

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Mistral AI
Mistral Large 2

FAQ

Common questions about Jamba 1.5 Large vs Mistral Large 2.

Which is better, Jamba 1.5 Large or Mistral Large 2?

Mistral Large 2 significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Mistral Large 2 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Large compare to Mistral Large 2 in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is Jamba 1.5 Large cheaper than Mistral Large 2?

Both models cost $2.00 per million input tokens.

What are the context window sizes for Jamba 1.5 Large and Mistral Large 2?

Jamba 1.5 Large supports 256K tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Large and Mistral Large 2?

Key differences include context window (256K vs 128K), licensing (Jamba Open Model License vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and Mistral Large 2?

Jamba 1.5 Large is developed by AI21 Labs and Mistral Large 2 is developed by Mistral AI.