Model Comparison

Jamba 1.5 Large vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Qwen3-Next-80B-A3B-Thinking is 7.2x 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 Qwen3-Next-80B-A3B-Thinking is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Next-80B-A3B-Thinking costs less

For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 13.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 5.3x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, Jamba 1.5 Large is more expensive than Qwen3-Next-80B-A3B-Thinking.*

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

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

Jamba 1.5 Large

Input tokens$2.00

Output tokens$8.00

Best providerAWS Bedrock

Qwen3-Next-80B-A3B-Thinking

Input tokens$0.15

Output tokens$1.50

Best providerNovita

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Model Size

Parameter count comparison

318.0B diff

Jamba 1.5 Large has 318.0B more parameters than Qwen3-Next-80B-A3B-Thinking, making it 397.5% larger.

Jamba 1.5 Large

398.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

398.0B

Jamba 1.5 Large

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

Jamba 1.5 Large

Input256,000 tokens

Output256,000 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Thu May 14 2026 • llm-stats.com

License

Usage and distribution terms

Jamba 1.5 Large is licensed under Jamba Open Model License, while Qwen3-Next-80B-A3B-Thinking 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

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Jamba 1.5 Large was released on 2024-08-22, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 13 months newer than Jamba 1.5 Large.

Jamba 1.5 Large

Aug 22, 2024

1.7 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 2025

8 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Qwen3-Next-80B-A3B-Thinking'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 Qwen3-Next-80B-A3B-Thinking's cutoff date.

Jamba 1.5 Large

Mar 2024

Qwen3-Next-80B-A3B-Thinking

—

Provider Availability

Jamba 1.5 Large is available from Bedrock, Google. Qwen3-Next-80B-A3B-Thinking is available from Novita.

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

Qwen3-Next-80B-A3B-Thinking

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M

* 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)

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher GPQA score (77.2% vs 36.9%)

Higher MMLU-Pro score (82.7% vs 53.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Jamba 1.5 Large	Qwen3-Next-80B-A3B-Thinking

FAQ

Common questions about Jamba 1.5 Large vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Jamba 1.5 Large or Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks. Jamba 1.5 Large is made by AI21 Labs and Qwen3-Next-80B-A3B-Thinking 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 Qwen3-Next-80B-A3B-Thinking in benchmarks?

Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Is Jamba 1.5 Large cheaper than Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking is 13.3x cheaper for input tokens. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

What are the context window sizes for Jamba 1.5 Large and Qwen3-Next-80B-A3B-Thinking?

Jamba 1.5 Large supports 256K tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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 Qwen3-Next-80B-A3B-Thinking?

Key differences include context window (256K vs 66K), 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.

Who makes Jamba 1.5 Large and Qwen3-Next-80B-A3B-Thinking?

Jamba 1.5 Large is developed by AI21 Labs and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.