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GLM-5.3-Flash vs Mistral Small 4

Comparing GLM-5.3-Flash and Mistral Small 4 across benchmarks, pricing, and capabilities.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-5.3-Flash and Mistral Small 4 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, GLM-5.3-Flash is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3-Flash 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-Flash

  • cost matters — it's about 1.1x 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 Small 4

  • you want predictable pricing at $0.15/M input and $0.60/M output

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
Mistral Small 4
Mistral AI
Benchmark wins
—
—
Input price
$0.15 / M
$0.15 / M
Output price
$0.50 / M
$0.60 / M
Context window
1,000,000
256,000
Released
Aug 2026
Mar 2026
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash and Mistral Small 4don'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-Flash costs less

For input processing, GLM-5.3-Flash ($0.15/1M tokens) costs the same as Mistral Small 4 ($0.15/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 1.2x cheaper than Mistral Small 4 ($0.60/1M tokens).

In conclusion, Mistral Small 4 is more expensive than GLM-5.3-Flash.*

* 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-Flash
Input tokens$0.15
Output tokens$0.50
Best providerUnknown Organization
Mistral AI
Mistral Small 4
Input tokens$0.15
Output tokens$0.60
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

201.0B diff

GLM-5.3-Flash has 201.0B more parameters than Mistral Small 4, making it 168.9% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Mistral AI
Mistral Small 4
119.0Bparameters
320.0B
GLM-5.3-Flash
119.0B
Mistral Small 4

Context Window

Maximum input and output token capacity

GLM-5.3-Flash accepts 1,000,000 input tokens compared to Mistral Small 4's 256,000 tokens. Mistral Small 4 can generate longer responses up to 256,000 tokens, while GLM-5.3-Flash is limited to 131,072 tokens.

Zhipu AI
GLM-5.3-Flash
Input1,000,000 tokens
Output131,072 tokens
Mistral AI
Mistral Small 4
Input256,000 tokens
Output256,000 tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-5.3-Flash and Mistral Small 4 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-Flash

Text
Images
Audio
Video

Mistral Small 4

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash is licensed under MIT, while Mistral Small 4 uses Apache 2.0.

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

GLM-5.3-Flash

MIT

Open weights

Mistral Small 4

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Mistral Small 4 was released on 2026-03-16.

GLM-5.3-Flash is 5 months newer than Mistral Small 4.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

5mo newer
Mistral Small 4

Mar 16, 2026

5 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-Flash is available from ZAI. Mistral Small 4 is available from Mistral AI.

GLM-5.3-Flash

z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

Mistral Small 4

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* 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-Flash and Mistral Small 4 side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
Mistral Small 4
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs Mistral Small 4.

Which is better, GLM-5.3-Flash or Mistral Small 4?

GLM-5.3-Flash (Zhipu AI) and Mistral Small 4 (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-Flash compare to Mistral Small 4 in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, MVBench: 77.8%. Mistral Small 4 scores AIME 2025: 83.8%, MMLU-Pro: 78.0%, AA-LCR: 71.2%, GPQA: 71.2%, LiveCodeBench: 63.6%.

Is GLM-5.3-Flash cheaper than Mistral Small 4?

Both models cost $0.15 per million input tokens.

What are the context window sizes for GLM-5.3-Flash and Mistral Small 4?

GLM-5.3-Flash supports 1.0M tokens and Mistral Small 4 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-Flash and Mistral Small 4?

Key differences include context window (1.0M vs 256K), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and Mistral Small 4?

GLM-5.3-Flash is developed by Zhipu AI and Mistral Small 4 is developed by Mistral AI.

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