o4-mini vs Claude Opus 4.7

Side-by-side comparison of o4-mini (OpenAI) and Claude Opus 4.7 (Anthropic). Exact API pricing per million tokens, context windows, output speed, and total cost on real-world prompts.

Specifications

Spec o4-mini Claude Opus 4.7
Provider OpenAI Anthropic
Model id o4-mini claude-opus-4.7
Input price (per 1M tokens) $1.10 $5.00
Output price (per 1M tokens) $4.40 $25.00
Context window 200,000 1,000,000
Output speed (tokens/sec) ~80 ~30

Cost on real prompts

Total cost = (input tokens × input price) + (output tokens × output price). Numbers below use the exact pricing tables published by each provider.

Scenario Input Output o4-mini Claude Opus 4.7 Cheaper
Short question + answer 50 150 $0.000715 $0.004000 o4-mini
Code review on one file 500 1,500 $0.007150 $0.040000 o4-mini
Long document summary 5,000 500 $0.007700 $0.037500 o4-mini
Heavy reasoning task 2,000 8,000 $0.037400 $0.210000 o4-mini
Full codebase analysis 50,000 10,000 $0.099000 $0.500000 o4-mini

Want the exact cost for your prompt instead of these examples? Open the cost calculator pre-loaded with both models →

When to pick which

Heuristics derived from the spec table above. Always validate on your own prompts before committing — these are starting points, not verdicts.

Pick o4-mini for

  • output-heavy workloads (long-form generation, code, summaries) — o4-mini is meaningfully cheaper per output token
  • input-heavy workloads (long context, RAG, document QA) — o4-mini is cheaper per input token
  • latency-sensitive UX (chat, autocompletion) — o4-mini streams faster (~80 vs ~30 tok/s)

Pick Claude Opus 4.7 for

  • tasks needing a larger context window — claude-opus-4.7 fits 5x more tokens than o4-mini

Switching between them

For most use cases, switching providers means updating the model id and the request shape if the providers differ. Within the same provider, it's usually a single-line change.

From o4-mini to Claude Opus 4.7

# Before
model = "o4-mini"

# After
model = "claude-opus-4.7"

If the providers differ (OpenAI vs Anthropic), you'll also need to swap the SDK / endpoint URL. Cross-provider migrations usually take 30 minutes to a few hours depending on how many features (streaming, function calling, tool use) you depend on.

Calculate cost on your own prompt

The examples above use generic input/output ratios. For an exact comparison, paste your real prompt into the calculator — it counts tokens with the right tokenizer for each model and shows side-by-side cost.

Open the calculator with both models →