Model Comparison

Hy3 vs Jamba 1.5 LargeWhich is better in 2026?

Hy3 significantly outperforms across most benchmarks.

Verdict: Hy3 vs Jamba 1.5 Large — which is better?

Hy3 (by Tencent) and Jamba 1.5 Large (by AI21 Labs) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Hy3 outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks. Hy3 significantly outperforms across most benchmarks.

Choose Hy3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose Jamba 1.5 Large if…

  • you want predictable pricing at $2.00/M input and $8.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Hy3 outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.

Hy3 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

103.0B diff

Jamba 1.5 Large has 103.0B more parameters than Hy3, making it 34.9% larger.

Tencent
Hy3
295.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
295.0B
Hy3
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).

Tencent
Hy3
Input- tokens
Output- tokens
AI21 Labs
Jamba 1.5 Large
Input256,000 tokens
Output256,000 tokens
Sat Jul 18 2026 • llm-stats.com

License

Usage and distribution terms

Hy3 is licensed under Apache 2.0, while Jamba 1.5 Large uses Jamba Open Model License.

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

Hy3

Apache 2.0

Open weights

Jamba 1.5 Large

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while Jamba 1.5 Large was released on 2024-08-22.

Hy3 is 23 months newer than Jamba 1.5 Large.

Hy3

Jul 6, 2026

1 weeks ago

1.9yr newer
Jamba 1.5 Large

Aug 22, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Hy3'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 Hy3's cutoff date.

Hy3

Jamba 1.5 Large

Mar 2024

Outputs Comparison

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Key Takeaways

Higher GPQA score (90.4% vs 36.9%)
Larger context window (256,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Hy3 and Jamba 1.5 Large side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
Jamba 1.5 Large
Open in Playground
AI Model Comparison Table
Feature
Tencent
Hy3
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about Hy3 vs Jamba 1.5 Large.

Which is better, Hy3 or Jamba 1.5 Large?

Hy3 significantly outperforms across most benchmarks. Hy3 is made by Tencent and Jamba 1.5 Large is made by AI21 Labs. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Hy3 compare to Jamba 1.5 Large in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. Jamba 1.5 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

What are the context window sizes for Hy3 and Jamba 1.5 Large?

Hy3 supports an unknown number of tokens and Jamba 1.5 Large supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Hy3 and Jamba 1.5 Large?

Key differences include licensing (Apache 2.0 vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and Jamba 1.5 Large?

Hy3 is developed by Tencent and Jamba 1.5 Large is developed by AI21 Labs.