Gemini 2.5 Pro vs Claude Sonnet 4.6

Side-by-side comparison of Gemini 2.5 Pro (Google) and Claude Sonnet 4.6 (Anthropic). Exact API pricing per million tokens, context windows, output speed, and total cost on real-world prompts.

Specifications

Spec Gemini 2.5 Pro Claude Sonnet 4.6
Provider Google Anthropic
Model id gemini-2.5-pro claude-sonnet-4.6
Input price (per 1M tokens) $1.25 $3.00
Output price (per 1M tokens) $10.00 $15.00
Context window 1,048,576 1,000,000
Output speed (tokens/sec) ~90 ~90

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 Gemini 2.5 Pro Claude Sonnet 4.6 Cheaper
Short question + answer 50 150 $0.001563 $0.002400 Gemini 2.5 Pro
Code review on one file 500 1,500 $0.015625 $0.024000 Gemini 2.5 Pro
Long document summary 5,000 500 $0.011250 $0.022500 Gemini 2.5 Pro
Heavy reasoning task 2,000 8,000 $0.082500 $0.126000 Gemini 2.5 Pro
Full codebase analysis 50,000 10,000 $0.162500 $0.300000 Gemini 2.5 Pro

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 Gemini 2.5 Pro for

  • output-heavy workloads (long-form generation, code, summaries) — gemini-2.5-pro is meaningfully cheaper per output token
  • input-heavy workloads (long context, RAG, document QA) — gemini-2.5-pro is cheaper per input token

Pick Claude Sonnet 4.6 for

No clear advantage on the data points we measure. Compare on your actual prompts.

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 Gemini 2.5 Pro to Claude Sonnet 4.6

# Before
model = "gemini-2.5-pro"

# After
model = "claude-sonnet-4.6"

If the providers differ (Google 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 →