Which is better for coding — GLM-4.7-Flash 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-4.7-Flash or Mistral Large 2?

GLM-4.7-Flash is cheaper for input: $0.07 per 1M tokens vs $2.00.

Which has a larger context window — GLM-4.7-Flash or Mistral Large 2?

GLM-4.7-Flash supports a larger context: 128,000 tokens vs 128,000.

GLM-4.7-Flash vs Mistral Large 2: Specs & Benchmark Comparison

Characteristic	GLM-4.7-Flash	Mistral Large 2
Company	Zhipu AI	Mistral AI
Release Date	January 18, 2026	July 24, 2024
Parameters	30B	123B
Multimodal	No	No
Context (input)	128K	128K
Context (output)	16K	128K
Input Price / 1M	$0.07	$2.00
Output Price / 1M	$0.40	$6.00
Average Score	0.6	0.9

Verdict

GLM-4.7-Flash leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-4.7-Flash — 0.6, Mistral Large 2 — 0.9.

API Cost

GLM-4.7-Flash is 17.0x cheaper: input $0.07/1M vs $2.00/1M tokens.

Context Window

Same context size: 128K tokens.

Recency

GLM-4.7-Flash is newer: released 1/18/2026 vs 7/24/2024.

More About These Models

GLM-4.7-Flash

Zhipu AI — specs, benchmarks, API

Mistral Large 2

Mistral AI — specs, benchmarks, API

Related Comparisons

GLM-4.7-Flash vs GLM-5 GLM-4.5 vs GLM-4.7-Flash GLM-4.7-Flash vs GPT-5.2 Codex GLM-4.7-Flash vs Mercury 2 GLM-4.7-Flash vs MiniMax M2.5 GLM-4.7-Flash vs GPT-5.3 Codex

All model comparisons →

The GLM-4.7-Flash 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-4.7-Flash or Mistral Large 2 page. See also the complete list of AI model comparisons.