Model Comparison

Jamba 1.5 Large vs Qwen2.5 7B Instruct

Both models are evenly matched across the benchmarks. Qwen2.5 7B Instruct is 11.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Jamba 1.5 Large outperforms in 2 benchmarks (Arena Hard, GPQA), while Qwen2.5 7B Instruct is better at 2 benchmarks (GSM8k, MMLU-Pro).

Both models are evenly matched across the benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 6.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 26.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Qwen2.5 7B Instruct.*

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

Lowest available price from all providers

Wed May 13 2026 • llm-stats.com

Jamba 1.5 Large

Input tokens$2.00

Output tokens$8.00

Best providerAWS Bedrock

Qwen2.5 7B Instruct

Input tokens$0.30

Output tokens$0.30

Best providerTogether

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Model Size

Parameter count comparison

390.4B diff

Jamba 1.5 Large has 390.4B more parameters than Qwen2.5 7B Instruct, making it 5130.0% larger.

Jamba 1.5 Large

398.0Bparameters

Qwen2.5 7B Instruct

7.6Bparameters

398.0B

Jamba 1.5 Large

7.6B

Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Qwen2.5 7B Instruct's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen2.5 7B 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

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Qwen2.5 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 1 month newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.6 years ago

4w newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen2.5 7B 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 Qwen2.5 7B Instruct's cutoff date.

Jamba 1.5 Large

Mar 2024

Qwen2.5 7B Instruct

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Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Qwen2.5 7B Instruct is available from Together.

Jamba 1.5 Large

AWS Bedrock

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Google

Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M

Qwen2.5 7B Instruct

Together

Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Jamba 1.5 Large

View details

AI21 Labs

Larger context window (256,000 tokens)

Higher Arena Hard score (65.4% vs 52.0%)

Higher GPQA score (36.9% vs 36.4%)

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher GSM8k score (91.6% vs 87.0%)

Higher MMLU-Pro score (56.3% vs 53.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Large	Qwen2.5 7B Instruct

FAQ

Common questions about Jamba 1.5 Large vs Qwen2.5 7B Instruct.

Which is better, Jamba 1.5 Large or Qwen2.5 7B Instruct?

Both models are evenly matched across the benchmarks. Jamba 1.5 Large is made by AI21 Labs and Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Jamba 1.5 Large compare to Qwen2.5 7B Instruct in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

Is Jamba 1.5 Large cheaper than Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is 6.7x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.

What are the context window sizes for Jamba 1.5 Large and Qwen2.5 7B Instruct?

Jamba 1.5 Large supports 256K tokens and Qwen2.5 7B Instruct supports 131K 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 Qwen2.5 7B Instruct?

Key differences include context window (256K vs 131K), input pricing ($2.00 vs $0.30/M), licensing (Jamba Open Model License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and Qwen2.5 7B Instruct?

Jamba 1.5 Large is developed by AI21 Labs and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.