Model Comparison
Claude 3.7 Sonnet vs Jamba 1.5 LargeWhich is better in 2026?
Claude 3.7 Sonnet significantly outperforms across most benchmarks. Jamba 1.5 Large is 1.7x cheaper per token.
Verdict: Claude 3.7 Sonnet vs Jamba 1.5 Large — which is better?
Claude 3.7 Sonnet (by Anthropic) 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.
Claude 3.7 Sonnet outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks. Claude 3.7 Sonnet significantly outperforms across most benchmarks.
On price, Jamba 1.5 Large is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Jamba 1.5 Large also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude 3.7 Sonnet if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Feb 2025
Choose Jamba 1.5 Large if…
- cost matters — it's about 1.7x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.7 Sonnet outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
Claude 3.7 Sonnet significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 1.5x more expensive than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 1.9x more expensive than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than Jamba 1.5 Large.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to Claude 3.7 Sonnet's 200,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Claude 3.7 Sonnet is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude 3.7 Sonnet supports multimodal inputs, whereas Jamba 1.5 Large does not.
Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.7 Sonnet
Jamba 1.5 Large
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, 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.
Proprietary
Closed source
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
Claude 3.7 Sonnet was released on 2025-02-24, while Jamba 1.5 Large was released on 2024-08-22.
Claude 3.7 Sonnet is 6 months newer than Jamba 1.5 Large.
Feb 24, 2025
1.3 years ago
6mo newerAug 22, 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 Claude 3.7 Sonnet'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 Claude 3.7 Sonnet's cutoff date.
—
Mar 2024
Provider Availability
Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. Jamba 1.5 Large is available from Bedrock, Google.
Claude 3.7 Sonnet
Jamba 1.5 Large
Outputs Comparison
Key Takeaways
Claude 3.7 Sonnet
View detailsAnthropic
Jamba 1.5 Large
View detailsAI21 Labs
Claude 3.7 Sonnet
Jamba 1.5 LargeDetailed Comparison
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FAQ
Common questions about Claude 3.7 Sonnet vs Jamba 1.5 Large.