GPT-5.1 Instant vs Jamba 1.5 Large
GPT-5.1 Instant leads the LLM Stats Score 36.5 to 0.9. GPT-5.1 Instant is 1.0x cheaper per token.
OpenAI · AI21 Labs · Updated for 2026
Which is better?
GPT-5.1 Instant leads the overall LLM Stats Score 36.5 to 0.9, ranking #76 overall.
In the 1 individual benchmarks reported for both models, GPT-5.1 Instant wins 1; this is a narrower head-to-head signal than the composite indexes.
GPT-5.1 Instant also accepts a larger context window (400,000 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 GPT-5.1 Instant
- overall performance matters — it scores 36.5 and ranks #76 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Nov 2025
Choose Jamba 1.5 Large
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for GPT-5.1 Instant · 8 for Jamba 1.5 Large
GPT-5.1 Instant outperforms in 1 benchmarks (GPQA), while Jamba 1.5 Large is better at 0 benchmarks.
GPT-5.1 Instant significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.1 Instant ($1.25/1M tokens) is 1.6x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, GPT-5.1 Instant ($10.00/1M tokens) is 1.3x more expensive than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than GPT-5.1 Instant.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.1 Instant accepts 400,000 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while GPT-5.1 Instant is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.1 Instant supports multimodal inputs, whereas Jamba 1.5 Large does not.
GPT-5.1 Instant can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.1 Instant
Jamba 1.5 Large
License
Usage and distribution terms
GPT-5.1 Instant 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
GPT-5.1 Instant was released on 2025-11-12, while Jamba 1.5 Large was released on 2024-08-22.
GPT-5.1 Instant is 15 months newer than Jamba 1.5 Large.
Nov 12, 2025
10 months ago
1.2yr newerAug 22, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while GPT-5.1 Instant'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 GPT-5.1 Instant's cutoff date.
—
Mar 2024
Provider Availability
GPT-5.1 Instant is available from OpenAI. Jamba 1.5 Large is available from Bedrock, Google.
GPT-5.1 Instant
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.1 Instant and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.1 Instant vs Jamba 1.5 Large.