Which is better for coding — GLM-4.5 or Mistral Large 2?

Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.

Which model is cheaper — GLM-4.5 or Mistral Large 2?

GLM-4.5 is cheaper for input: $0.60 per 1M tokens vs $2.00.

Which has a larger context window — GLM-4.5 or Mistral Large 2?

GLM-4.5 supports a larger context: 131,072 tokens vs 128,000.

GLM-4.5 vs Mistral Large 2: Specs & Benchmark Comparison

Characteristic	GLM-4.5	Mistral Large 2
Company	Zhipu AI	Mistral AI
Release Date	July 27, 2025	July 24, 2024
Parameters	355B	123B
Multimodal	No	No
Context (input)	131K	128K
Context (output)	98K	128K
Input Price / 1M	$0.60	$2.00
Output Price / 1M	$2.20	$6.00
Average Score	0.8	0.9

Verdict

GLM-4.5 leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-4.5 — 0.8, Mistral Large 2 — 0.9.

API Cost

GLM-4.5 is 2.9x cheaper: input $0.60/1M vs $2.00/1M tokens.

Context Window

GLM-4.5 supports a larger context: 131K vs 128K tokens.

Recency

GLM-4.5 is newer: released 7/27/2025 vs 7/24/2024.

More About These Models

GLM-4.5

Zhipu AI — specs, benchmarks, API

Mistral Large 2

Mistral AI — specs, benchmarks, API

Related Comparisons

GLM-4.5 vs GLM-5 GLM-4.5 vs GLM-4.7-Flash DeepSeek-V3.2-Exp vs GLM-4.5 GLM-4.5 vs LongCat-Flash-Thinking DeepSeek-V3.2 (Thinking) vs GLM-4.5 GLM-4.5 vs MiMo-V2-Flash

All model comparisons →

The GLM-4.5 and Mistral Large 2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-4.5 or Mistral Large 2 page. See also the complete list of AI model comparisons.