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GLM-5.3 vs Mistral Large 2

Comparing GLM-5.3 and Mistral Large 2 across benchmarks, pricing, and capabilities.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-5.3 and Mistral Large 2 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 Large 2

  • 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
$2.00 / M
Output price
$4.40 / M
$6.00 / M
Context window
1,000,000
128,000
Released
Aug 2026
Jul 2024
License
Unknown
Mistral Research License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Mistral Large 2don'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 1.4x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 1.4x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than GLM-5.3.*

* 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 Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

630.0B diff

GLM-5.3 has 630.0B more parameters than Mistral Large 2, making it 512.2% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
753.0B
GLM-5.3
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Mistral Large 2's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 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 Large 2 was released on 2024-07-24.

GLM-5.3 is 25 months newer than Mistral Large 2.

GLM-5.3

Aug 14, 2026

1 weeks ago

2.1yr newer
Mistral Large 2

Jul 24, 2024

2.1 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 Large 2 is available from Google, Mistral AI.

GLM-5.3

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

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
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

Judge for yourself.

Run your own prompts against GLM-5.3 and Mistral Large 2 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Mistral Large 2
Open in Playground

FAQ

Common questions about GLM-5.3 vs Mistral Large 2.

Which is better, GLM-5.3 or Mistral Large 2?

GLM-5.3 (Zhipu AI) and Mistral Large 2 (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 Large 2 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 Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is GLM-5.3 cheaper than Mistral Large 2?

GLM-5.3 is 1.4x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

What are the context window sizes for GLM-5.3 and Mistral Large 2?

GLM-5.3 supports 1.0M tokens and Mistral Large 2 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-5.3 and Mistral Large 2?

Key differences include context window (1.0M vs 128K), input pricing ($1.40 vs $2.00/M), licensing (Unknown vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Mistral Large 2?

GLM-5.3 is developed by Zhipu AI and Mistral Large 2 is developed by Mistral AI.