Model Comparison

Jamba 1.5 Large vs Mistral NeMo Instruct

Jamba 1.5 Large significantly outperforms across most benchmarks. Mistral NeMo Instruct is 23.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

Jamba 1.5 Large significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral NeMo Instruct costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 13.3x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 53.3x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

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

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

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Mistral AI
Mistral NeMo Instruct
Input tokens$0.15
Output tokens$0.15
Best providerGoogle
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Model Size

Parameter count comparison

386.0B diff

Jamba 1.5 Large has 386.0B more parameters than Mistral NeMo Instruct, making it 3216.7% larger.

AI21 Labs
Jamba 1.5 Large
398.0Bparameters
Mistral AI
Mistral NeMo Instruct
12.0Bparameters
398.0B
Jamba 1.5 Large
12.0B
Mistral NeMo Instruct

Context Window

Maximum input and output token capacity

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

AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Mistral NeMo Instruct uses Apache 2.0.

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 NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Mistral NeMo Instruct was released on 2024-07-18.

Jamba 1.5 Large is 1 month newer than Mistral NeMo Instruct.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

1mo newer
Mistral NeMo Instruct

Jul 18, 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 NeMo Instruct'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 NeMo Instruct's cutoff date.

Jamba 1.5 Large

Mar 2024

Mistral NeMo Instruct

—

Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Mistral NeMo Instruct 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 NeMo Instruct

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
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 (256,000 tokens)
Higher MMLU score (81.2% vs 68.0%)
Higher TruthfulQA score (58.3% vs 50.3%)
Mistral AI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
AI21 Labs
Jamba 1.5 Large
Mistral AI
Mistral NeMo Instruct

FAQ

Common questions about Jamba 1.5 Large vs Mistral NeMo Instruct

Jamba 1.5 Large significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Mistral NeMo Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.
Mistral NeMo Instruct is 13.3x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Mistral NeMo Instruct costs $0.15/M input and $0.15/M output via google.
Jamba 1.5 Large supports 256K tokens and Mistral NeMo Instruct 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 ($2.00 vs $0.15/M), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Jamba 1.5 Large is developed by AI21 Labs and Mistral NeMo Instruct is developed by Mistral AI.