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Ministral 3 14B vs GLM-5.3-Flash

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Ministral 3 14B Cost
$0.24
GLM-5.3-Flash Cost
$0.13
GLM-5.3-Flash is 48% cheaper
FeatureMinistral 3 14BGLM-5.3-Flash
ProviderMistralZhipu AI
Input Price (1M)$0.20$0.07
Output Price (1M)$0.20$0.25
Context Window262,0001,000,000

Verdict

Ministral 3 14B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens. GLM-5.3-Flash costs $0.07 per 1M input tokens and $0.25 per 1M output tokens. GLM-5.3-Flash is 63% cheaper on input tokens than Ministral 3 14B. For output tokens, Ministral 3 14B is the more affordable option at $0.20/1M vs $0.25.

On context window, GLM-5.3-Flash supports 1,000,000 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 Ministral 3 14B

  • ✓ Your workload is output-heavy — Ministral 3 14B generates text cheaper
  • ✓ You are already integrated with Mistral

When to choose GLM-5.3-Flash

  • ✓ You need the lowest input token cost ($ 0.07/1M)
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with Zhipu AI

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 Ministral 3 14B cheaper than GLM-5.3-Flash?

GLM-5.3-Flash is cheaper on input tokens at $0.07/1M vs $0.20/1M for Ministral 3 14B — a 63% saving.

What is the context window of Ministral 3 14B vs GLM-5.3-Flash?

Ministral 3 14B has a 262,000-token context window. GLM-5.3-Flash has a 1,000,000-token context window. GLM-5.3-Flash supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Ministral 3 14B or GLM-5.3-Flash?

The best choice depends on your use case. For cost efficiency on input tokens, GLM-5.3-Flash is the cheaper option. For maximum context length, GLM-5.3-Flash supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.