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Devstral Small 1.1 vs GLM-5.3

Comparing Devstral Small 1.1 and GLM-5.3 across benchmarks, pricing, and capabilities.

Mistral AI · Zhipu AI · Updated for 2026

Which is better?

Devstral Small 1.1 and GLM-5.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Devstral Small 1.1 is roughly 14.3x 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 Devstral Small 1.1

  • cost matters — it's about 14.3x cheaper per token
  • you need open weights you can self-host or fine-tune

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

At a glance

The differences that matter most.

Devstral Small 1.1
Mistral AI
GLM-5.3
Zhipu AI
Benchmark wins
—
—
Input price
$0.10 / M
$1.40 / M
Output price
$0.30 / M
$4.40 / M
Context window
128,000
1,000,000
Released
Jul 2025
Aug 2026
License
Apache 2.0
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and GLM-5.3don'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

Devstral Small 1.1 costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 14.0x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 14.7x cheaper than GLM-5.3 ($4.40/1M tokens).

In conclusion, GLM-5.3 is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

729.0B diff

GLM-5.3 has 729.0B more parameters than Devstral Small 1.1, making it 3037.5% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
24.0B
Devstral Small 1.1
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Devstral Small 1.1's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 13 months newer than Devstral Small 1.1.

Devstral Small 1.1

Jul 11, 2025

1.1 years ago

GLM-5.3

Aug 14, 2026

1 weeks ago

1.1yr newer

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

Devstral Small 1.1 is available from Mistral AI. GLM-5.3 is available from ZAI.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* 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 Devstral Small 1.1 and GLM-5.3 side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about Devstral Small 1.1 vs GLM-5.3.

Which is better, Devstral Small 1.1 or GLM-5.3?

Devstral Small 1.1 (Mistral AI) and GLM-5.3 (Zhipu 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 Devstral Small 1.1 compare to GLM-5.3 in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. 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 Devstral Small 1.1 cheaper than GLM-5.3?

Devstral Small 1.1 is 14.0x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

What are the context window sizes for Devstral Small 1.1 and GLM-5.3?

Devstral Small 1.1 supports 128K tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Devstral Small 1.1 and GLM-5.3?

Key differences include context window (128K vs 1.0M), input pricing ($0.10 vs $1.40/M), licensing (Apache 2.0 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and GLM-5.3?

Devstral Small 1.1 is developed by Mistral AI and GLM-5.3 is developed by Zhipu AI.

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