GLM-5.3 vs Jamba 1.5 Large
Comparing GLM-5.3 and Jamba 1.5 Large across benchmarks, pricing, and capabilities.
Zhipu AI · AI21 Labs · Updated for 2026
Which is better?
GLM-5.3 and Jamba 1.5 Large trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, GLM-5.3 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- cost matters — it's about 1.6x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Jamba 1.5 Large
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 and Jamba 1.5 Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3 ($1.40/1M tokens) is 1.4x cheaper than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 1.8x cheaper than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than GLM-5.3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.3 has 355.0B more parameters than Jamba 1.5 Large, making it 89.2% larger.
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,000,000 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 GLM-5.3 is limited to 128,000 tokens.
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Jamba 1.5 Large was released on 2024-08-22.
GLM-5.3 is 24 months newer than Jamba 1.5 Large.
Aug 14, 2026
1 weeks ago
2.0yr newerAug 22, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while GLM-5.3'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 GLM-5.3's cutoff date.
—
Mar 2024
Provider Availability
GLM-5.3 is available from ZAI. Jamba 1.5 Large is available from Bedrock, Google.
GLM-5.3
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Jamba 1.5 Large.