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GLM-4.7 vs Mistral Large 3

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GLM-4.7 Cost
$1.04
Mistral Large 3 Cost
$0.80
Mistral Large 3 is 23% cheaper
FeatureGLM-4.7Mistral Large 3
ProviderZhipu AIMistral
Input Price (1M)$0.60$0.50
Output Price (1M)$2.20$1.50
Context Window204,800262,000

Verdict

GLM-4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens. Mistral Large 3 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens. Mistral Large 3 is 17% cheaper on input tokens than GLM-4.7. For output tokens, Mistral Large 3 is the more affordable option at $1.50/1M vs $2.20.

On context window, Mistral Large 3 supports 262,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose GLM-4.7

  • ✓ You are already integrated with Zhipu AI

When to choose Mistral Large 3

  • ✓ You need the lowest input token cost ($ 0.50/1M)
  • ✓ Your workload is output-heavy — Mistral Large 3 generates text cheaper
  • ✓ You need a larger context window (262,000 tokens)
  • ✓ You are already integrated with Mistral

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is GLM-4.7 cheaper than Mistral Large 3?

Mistral Large 3 is cheaper on input tokens at $0.50/1M vs $0.60/1M for GLM-4.7 — a 17% saving.

What is the context window of GLM-4.7 vs Mistral Large 3?

GLM-4.7 has a 204,800-token context window. Mistral Large 3 has a 262,000-token context window. Mistral Large 3 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GLM-4.7 or Mistral Large 3?

The best choice depends on your use case. For cost efficiency on input tokens, Mistral Large 3 is the cheaper option. For maximum context length, Mistral Large 3 supports 262,000 tokens. Use the comparison table above to find the right fit for your workload.