Model Comparison

Jamba 1.5 Large vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Qwen2.5 72B Instruct is 9.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Jamba 1.5 Large outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 4 benchmarks (Arena Hard, GPQA, GSM8k, MMLU-Pro).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 72B Instruct costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 5.7x more expensive than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 20.0x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Qwen2.5 72B Instruct.*

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

Lowest available price from all providers

Tue May 26 2026 • llm-stats.com

Jamba 1.5 Large

Input tokens$2.00

Output tokens$8.00

Best providerAWS Bedrock

Qwen2.5 72B Instruct

Input tokens$0.35

Output tokens$0.40

Best providerDeepinfra

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Model Size

Parameter count comparison

325.3B diff

Jamba 1.5 Large has 325.3B more parameters than Qwen2.5 72B Instruct, making it 447.5% larger.

Jamba 1.5 Large

398.0Bparameters

Qwen2.5 72B Instruct

72.7Bparameters

398.0B

Jamba 1.5 Large

72.7B

Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Qwen2.5 72B Instruct's 131,072 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Tue May 26 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen2.5 72B Instruct uses Qwen.

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 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Qwen2.5 72B Instruct was released on 2024-09-19.

Qwen2.5 72B Instruct is 1 month newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

1.7 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 72B 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 72B Instruct's cutoff date.

Jamba 1.5 Large

Mar 2024

Qwen2.5 72B Instruct

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Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, 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 72B Instruct

Deepinfra

Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M

Hyperbolic

Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Together

Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

* 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)

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher Arena Hard score (81.2% vs 65.4%)

Higher GPQA score (49.0% vs 36.9%)

Higher GSM8k score (95.8% vs 87.0%)

Higher MMLU-Pro score (71.1% vs 53.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Large	Qwen2.5 72B Instruct

FAQ

Common questions about Jamba 1.5 Large vs Qwen2.5 72B Instruct.

Which is better, Jamba 1.5 Large or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Qwen2.5 72B 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 72B 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 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

Is Jamba 1.5 Large cheaper than Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct is 5.7x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.

What are the context window sizes for Jamba 1.5 Large and Qwen2.5 72B Instruct?

Jamba 1.5 Large supports 256K tokens and Qwen2.5 72B 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 72B Instruct?

Key differences include context window (256K vs 131K), input pricing ($2.00 vs $0.35/M), licensing (Jamba Open Model License vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Large and Qwen2.5 72B Instruct?

Jamba 1.5 Large is developed by AI21 Labs and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.