Model Comparison

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

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

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

GLM-5 (by Zhipu AI) and Jamba 1.5 Large (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, GLM-5 is roughly 2.3x 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.

Choose GLM-5 if…

  • cost matters — it's about 2.3x cheaper per token
  • you want the most recent training data — it shipped Feb 2026

Choose Jamba 1.5 Large if…

  • you process long inputs — it offers a 256,000 token context window
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Jamba 1.5 Large don'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

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 2.0x cheaper than Jamba 1.5 Large ($2.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.5x cheaper than Jamba 1.5 Large ($8.00/1M tokens).

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

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
AI21 Labs
Jamba 1.5 Large
Input tokens$2.00
Output tokens$8.00
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

346.0B diff

GLM-5 has 346.0B more parameters than Jamba 1.5 Large, making it 86.9% larger.

Zhipu AI
GLM-5
744.0Bparameters
AI21 Labs
Jamba 1.5 Large
398.0Bparameters
744.0B
GLM-5
398.0B
Jamba 1.5 Large

Context Window

Maximum input and output token capacity

Jamba 1.5 Large accepts 256,000 input tokens compared to GLM-5's 200,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 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 Large
Input256,000 tokens
Output256,000 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, 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.

GLM-5

MIT

Open weights

Jamba 1.5 Large

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 Large was released on 2024-08-22.

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

GLM-5

Feb 11, 2026

3 months ago

1.5yr newer
Jamba 1.5 Large

Aug 22, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while GLM-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 GLM-5's cutoff date.

GLM-5

—

Jamba 1.5 Large

Mar 2024

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Jamba 1.5 Large 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 Large

bedrock logo
AWS Bedrock
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
AI21 Labs
Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
AI21 Labs
Jamba 1.5 Large

FAQ

Common questions about GLM-5 vs Jamba 1.5 Large.

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

GLM-5 (Zhipu AI) and Jamba 1.5 Large (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 Large 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 Large scores ARC-C: 93.0%, GSM8k: 87.0%, MMLU: 81.2%, Arena Hard: 65.4%, TruthfulQA: 58.3%.

Is GLM-5 cheaper than Jamba 1.5 Large?

GLM-5 is 2.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Jamba 1.5 Large costs $2.00/M input and $8.00/M output via bedrock.

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

GLM-5 supports 200K tokens and Jamba 1.5 Large 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 Large?

Key differences include context window (200K vs 256K), input pricing ($1.00 vs $2.00/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 Large?

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

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