Jamba 1.5 Large vs LongCat-2.5
LongCat-2.5 leads the LLM Stats Score 50.0 to 0.4. LongCat-2.5 is 6.7x cheaper per token.
AI21 Labs · Meituan · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 0.4, ranking #20 overall.
On price, LongCat-2.5 is roughly 6.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-2.5 also accepts a larger context window (1,048,576 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 need open weights you can self-host or fine-tune
Choose LongCat-2.5
- overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 6.7x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for Jamba 1.5 Large · 23 for LongCat-2.5
Jamba 1.5 Large and LongCat-2.5don'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 6.7x more expensive than LongCat-2.5 ($0.30/1M tokens).
For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 6.7x more expensive than LongCat-2.5 ($1.20/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than LongCat-2.5.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
LongCat-2.5 has 1202.0B more parameters than Jamba 1.5 Large, making it 302.0% larger.
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 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 LongCat-2.5 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
LongCat-2.5 supports multimodal inputs, whereas Jamba 1.5 Large does not.
LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
LongCat-2.5
Release Timeline
When each model was launched
Jamba 1.5 Large was released on 2024-08-22, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 27 months newer than Jamba 1.5 Large.
Aug 22, 2024
2.2 years ago
Nov 1, 2026
0 days ago
2.2yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while LongCat-2.5'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 LongCat-2.5's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. LongCat-2.5 is available from Meituan.
Jamba 1.5 Large
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs LongCat-2.5.