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Claude Opus 4.7 vs Gemini 2.5 Ultra
Anthropic vs Google DeepMind. Specs, benchmarks, and real per-task cost — all in one page.
Verdict
Claude Opus 4.7 leads on LMSYS ELO (1412 vs 1385). Gemini 2.5 Ultra is ~2.9× cheaper on a 3:1 input:output blend.
Anthropic
Claude Opus 4.7Anthropic’s frontier reasoning model. Leads SWE-Bench and holds top ranks on long-context coding and agentic workflows.
Best-in-class coding agent behaviorStrong instruction following1M-token context with high recallHigh reliability under tool use
Google DeepMind
Gemini 2.5 Ultra2M-token context, native video understanding, and Google’s deepest multimodal stack. The long-context king.
2M context windowNative videoBest multimodal reasoning
Pricing
Input / 1M$15.00$7.00
Output / 1M$75.00$21.00
Context1.0M2.0M
Max output64K64K
LicenseProprietaryProprietary
Released2026-03-122026-02-05
Benchmarks
LMSYS ELO1412.01385.0
MMLU Pro92.890.4
HumanEval94.490.2
SWE-Bench72.158.3
MATH89.392.0
GPQA66.4—
MMMU79.282.1
IFEval92.189.7
Per-task cost
Summarize a 1-hour meeting transcript$0.263$0.115
Review a 500-line pull request$0.270$0.098
Answer a customer support ticket$0.105$0.038
Extract structured data from a resume$0.150$0.056
Debug a stack trace with context$0.240$0.084
Per-call cost using published token counts for each task. Real-world prompts vary.