Model Comparison

GLM-5 vs Jamba 1.5 MiniWhich is better in 2026?

Comparing GLM-5 and Jamba 1.5 Mini across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Jamba 1.5 Mini — which is better?

GLM-5 (by Zhipu AI) and Jamba 1.5 Mini (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.

On price, Jamba 1.5 Mini is roughly 6.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Jamba 1.5 Mini also accepts a larger context window (256,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026

Choose Jamba 1.5 Mini if…

  • cost matters — it's about 6.2x cheaper per token
  • you process long inputs — it offers a 256,144 token context window

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Jamba 1.5 Minidon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Jamba 1.5 Mini costs less

For input processing, GLM-5 ($1.00/1M tokens) is 5.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 8.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).

In conclusion, GLM-5 is more expensive than Jamba 1.5 Mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jul 14 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

692.0B diff

GLM-5 has 692.0B more parameters than Jamba 1.5 Mini, making it 1330.8% larger.

Zhipu AI
GLM-5
744.0Bparameters
AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
744.0B
GLM-5
52.0B
Jamba 1.5 Mini

Context Window

Maximum input and output token capacity

Jamba 1.5 Mini accepts 256,144 input tokens compared to GLM-5's 200,000 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
Tue Jul 14 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Jamba 1.5 Mini uses Jamba Open Model License.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Jamba 1.5 Mini

Jamba Open Model License

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Jamba 1.5 Mini was released on 2024-08-22.

GLM-5 is 18 months newer than Jamba 1.5 Mini.

GLM-5

Feb 11, 2026

5 months ago

1.5yr newer
Jamba 1.5 Mini

Aug 22, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while GLM-5's cutoff date is not specified.

We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Jamba 1.5 Mini

Mar 2024

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Jamba 1.5 Mini is available from Bedrock, Google.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI

No standout differentiators in the data we have for this pair.

AI21 Labs
Larger context window (256,144 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-5 and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.

GLM-5
✓ Preferred
Jamba 1.5 Mini
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-5
AI21 Labs
Jamba 1.5 Mini

FAQ

Common questions about GLM-5 vs Jamba 1.5 Mini.

Which is better, GLM-5 or Jamba 1.5 Mini?

GLM-5 (Zhipu AI) and Jamba 1.5 Mini (AI21 Labs) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Jamba 1.5 Mini in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%.

Is GLM-5 cheaper than Jamba 1.5 Mini?

Jamba 1.5 Mini is 5.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock.

What are the context window sizes for GLM-5 and Jamba 1.5 Mini?

GLM-5 supports 200K tokens and Jamba 1.5 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5 and Jamba 1.5 Mini?

Key differences include context window (200K vs 256K), input pricing ($1.00 vs $0.20/M), licensing (MIT vs Jamba Open Model License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Jamba 1.5 Mini?

GLM-5 is developed by Zhipu AI and Jamba 1.5 Mini is developed by AI21 Labs.

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