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Gemini 2.5 Flash vs Claude Opus 4.7

Google DeepMind vs Anthropic. Specs, benchmarks, and real per-task cost — all in one page.

Verdict

Claude Opus 4.7 leads on LMSYS ELO (1412 vs 1312). Gemini 2.5 Flash is ~57.1× cheaper on a 3:1 input:output blend.

Google DeepMind

Google’s price/performance darling. 1M context at $0.30/M input — nobody comes close on throughput-per-dollar.

Absurd cost-to-context ratioFast multimodalFree tier via AI Studio

Anthropic

Anthropic’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

Pricing

Input / 1M$0.30$15.00

Output / 1M$1.20$75.00

Context1.0M1.0M

Max output32K64K

LicenseProprietaryProprietary

Released2026-02-052026-03-12

Benchmarks

LMSYS ELO1312.01412.0

MMLU Pro82.192.8

HumanEval85.894.4

SWE-Bench—72.1

MATH84.289.3

GPQA—66.4

MMMU74.679.2

IFEval86.192.1

Per-task cost

Summarize a 1-hour meeting transcript$0.0051$0.263

Review a 500-line pull request$0.0048$0.270

Answer a customer support ticket$0.0019$0.105

Extract structured data from a resume$0.0027$0.150

Debug a stack trace with context$0.0042$0.240

Per-call cost using published token counts for each task. Real-world prompts vary.

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