Jamba 1.5 Large vs Mistral Small
Comparing Jamba 1.5 Large and Mistral Small across benchmarks, pricing, and capabilities.
AI21 Labs · Mistral AI · Updated for 2026
Which is better?
Jamba 1.5 Large and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small is roughly 11.7x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Jamba 1.5 Large
- you process long inputs — it offers a 256,000 token context window
Choose Mistral Small
- cost matters — it's about 11.7x cheaper per token
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Individual benchmarks
8 reported for Jamba 1.5 Large · 0 for Mistral Small
Jamba 1.5 Large and Mistral Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 10.0x more expensive than Mistral Small ($0.20/1M tokens).
For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 13.3x more expensive than Mistral Small ($0.60/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Mistral Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Jamba 1.5 Large has 376.0B more parameters than Mistral Small, making it 1709.1% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to Mistral Small's 32,768 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Mistral Small is limited to 32,768 tokens.
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
Mistral Research License
Open weights
Release Timeline
When each model was launched
Jamba 1.5 Large was released on 2024-08-22, while Mistral Small was released on 2024-09-17.
Mistral Small is 1 month newer than Jamba 1.5 Large.
Aug 22, 2024
2.0 years ago
Sep 17, 2024
2.0 years ago
3w newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Mistral Small'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 Mistral Small's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. Mistral Small is available from Mistral AI.
Jamba 1.5 Large
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Mistral Small.