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GLM-5.3 vs Mistral Small

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

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

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

On price, Mistral Small is roughly 7.2x 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

  • 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

  • cost matters — it's about 7.2x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$1.40 / M
$0.20 / M
Output price
$4.40 / M
$0.60 / M
Context window
1,000,000
32,768
Released
Aug 2026
Sep 2024
License
Unknown
Mistral Research License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Mistral Smalldon'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

Mistral Small costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 7.0x more expensive than Mistral Small ($0.20/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 7.3x more expensive than Mistral Small ($0.60/1M tokens).

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

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Mistral AI
Mistral Small
Input tokens$0.20
Output tokens$0.60
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

731.0B diff

GLM-5.3 has 731.0B more parameters than Mistral Small, making it 3322.7% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Mistral AI
Mistral Small
22.0Bparameters
753.0B
GLM-5.3
22.0B
Mistral Small

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Mistral Small's 32,768 tokens. GLM-5.3 can generate longer responses up to 128,000 tokens, while Mistral Small is limited to 32,768 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Mistral Small was released on 2024-09-17.

GLM-5.3 is 23 months newer than Mistral Small.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.9yr newer
Mistral Small

Sep 17, 2024

1.9 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-5.3 is available from ZAI. Mistral Small is available from Mistral AI.

GLM-5.3

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

Mistral Small

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput 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 and Mistral Small side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Mistral Small
Open in Playground

FAQ

Common questions about GLM-5.3 vs Mistral Small.

Which is better, GLM-5.3 or Mistral Small?

GLM-5.3 (Zhipu AI) and Mistral Small (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 Small 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%.

Is GLM-5.3 cheaper than Mistral Small?

Mistral Small is 7.0x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Mistral Small costs $0.20/M input and $0.60/M output via mistral.

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

GLM-5.3 supports 1.0M tokens and Mistral Small supports 33K 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 Small?

Key differences include context window (1.0M vs 33K), input pricing ($1.40 vs $0.20/M), licensing (Unknown vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Mistral Small?

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