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o3 vs GLM-4.7-FlashX

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

o3 Cost
$3.60
GLM-4.7-FlashX Cost
$0.15
GLM-4.7-FlashX is 96% cheaper
Featureo3GLM-4.7-FlashX
ProviderOpenAIZhipu AI
Input Price (1M)$2.00$0.07
Output Price (1M)$8.00$0.40
Context Window200,000202,752

Verdict

o3 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens. GLM-4.7-FlashX costs $0.07 per 1M input tokens and $0.40 per 1M output tokens. GLM-4.7-FlashX is 97% cheaper on input tokens than o3. For output tokens, GLM-4.7-FlashX is the more affordable option at $0.40/1M vs $8.00.

On context window, GLM-4.7-FlashX supports 202,752 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 o3

  • ✓ You are already integrated with OpenAI

When to choose GLM-4.7-FlashX

  • ✓ You need the lowest input token cost ($ 0.07/1M)
  • ✓ Your workload is output-heavy — GLM-4.7-FlashX generates text cheaper
  • ✓ You need a larger context window (202,752 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 o3 cheaper than GLM-4.7-FlashX?

GLM-4.7-FlashX is cheaper on input tokens at $0.07/1M vs $2.00/1M for o3 — a 97% saving.

What is the context window of o3 vs GLM-4.7-FlashX?

o3 has a 200,000-token context window. GLM-4.7-FlashX has a 202,752-token context window. GLM-4.7-FlashX supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: o3 or GLM-4.7-FlashX?

The best choice depends on your use case. For cost efficiency on input tokens, GLM-4.7-FlashX is the cheaper option. For maximum context length, GLM-4.7-FlashX supports 202,752 tokens. Use the comparison table above to find the right fit for your workload.