Model Comparison

GLM-5 vs Pixtral LargeWhich is better in 2026?

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

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

GLM-5 (by Zhipu AI) and Pixtral Large (by Mistral AI) 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 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • cost matters — it's about 1.9x cheaper per token
  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose Pixtral Large if…

  • you want predictable pricing at $2.00/M input and $6.00/M output
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Pixtral 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 Pixtral Large ($2.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.9x cheaper than Pixtral Large ($6.00/1M tokens).

In conclusion, Pixtral 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
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

620.0B diff

GLM-5 has 620.0B more parameters than Pixtral Large, making it 500.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
744.0B
GLM-5
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Pixtral Large's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Pixtral Large supports multimodal inputs, whereas GLM-5 does not.

Pixtral Large can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

GLM-5

MIT

Open weights

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Pixtral Large was released on 2024-11-18.

GLM-5 is 15 months newer than Pixtral Large.

GLM-5

Feb 11, 2026

3 months ago

1.2yr newer
Pixtral Large

Nov 18, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5 is available from FriendliAI, ZAI. Pixtral Large is available from Mistral AI.

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

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Less expensive input tokens
Less expensive output tokens
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Mistral AI
Pixtral Large

FAQ

Common questions about GLM-5 vs Pixtral Large.

Which is better, GLM-5 or Pixtral Large?

GLM-5 (Zhipu AI) and Pixtral Large (Mistral AI) 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 Pixtral 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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is GLM-5 cheaper than Pixtral Large?

GLM-5 is 2.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.

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

GLM-5 supports 200K tokens and Pixtral Large supports 128K 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 Pixtral Large?

Key differences include context window (200K vs 128K), input pricing ($1.00 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Pixtral Large?

GLM-5 is developed by Zhipu AI and Pixtral Large is developed by Mistral AI.

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