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GLM-5.3 vs Mistral Medium 3.5

Comparing GLM-5.3 and Mistral Medium 3.5 across benchmarks, pricing, and capabilities.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-5.3 and Mistral Medium 3.5 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, GLM-5.3 is roughly 1.4x 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 1.4x 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 Mistral Medium 3.5

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Mistral Medium 3.5
Mistral AI
Benchmark wins
—
—
Input price
$1.40 / M
$1.50 / M
Output price
$4.40 / M
$7.50 / M
Context window
1,000,000
256,000
Released
Aug 2026
Apr 2026
License
Unknown
Modified MIT License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Mistral Medium 3.5don'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

GLM-5.3 costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 1.1x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 1.7x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).

In conclusion, Mistral Medium 3.5 is more expensive than GLM-5.3.*

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

Lowest available price from all providers
Wed Aug 26 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

625.0B diff

GLM-5.3 has 625.0B more parameters than Mistral Medium 3.5, making it 488.3% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Mistral AI
Mistral Medium 3.5
128.0Bparameters
753.0B
GLM-5.3
128.0B
Mistral Medium 3.5

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while GLM-5.3 is limited to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Medium 3.5 supports multimodal inputs, whereas GLM-5.3 does not.

Mistral Medium 3.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Mistral Medium 3.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Mistral Medium 3.5 was released on 2026-04-29.

GLM-5.3 is 4 months newer than Mistral Medium 3.5.

GLM-5.3

Aug 14, 2026

1 weeks ago

3mo newer
Mistral Medium 3.5

Apr 29, 2026

3 months 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-5.3 is available from ZAI. Mistral Medium 3.5 is available from Mistral AI.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Mistral Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Mistral Medium 3.5
Open in Playground

FAQ

Common questions about GLM-5.3 vs Mistral Medium 3.5.

Which is better, GLM-5.3 or Mistral Medium 3.5?

GLM-5.3 (Zhipu AI) and Mistral Medium 3.5 (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-5.3 compare to Mistral Medium 3.5 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%.

Is GLM-5.3 cheaper than Mistral Medium 3.5?

GLM-5.3 is 1.1x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral.

What are the context window sizes for GLM-5.3 and Mistral Medium 3.5?

GLM-5.3 supports 1.0M tokens and Mistral Medium 3.5 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-5.3 and Mistral Medium 3.5?

Key differences include context window (1.0M vs 256K), input pricing ($1.40 vs $1.50/M), multimodal support (no vs yes), licensing (Unknown vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Mistral Medium 3.5?

GLM-5.3 is developed by Zhipu AI and Mistral Medium 3.5 is developed by Mistral AI.

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