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Claude Opus 4 vs Gemini 3.1 Flash

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Opus 4 and Gemini 3.1 Flash.

Anthropic

Claude Opus 4

Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in...

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Google

Gemini 3.1 Flash

Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.

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Technical Specifications

SpecificationClaude Opus 4Gemini 3.1 Flash
ProviderAnthropicGoogle
Context Window200,000 tokens1,000,000 tokens
Agent SuitabilityN/A86/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-05-222026-04-20

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4

$15.00

Gemini 3.1 Flash

$0.25

Output Price per Million Tokens

Claude Opus 4

$75.00

Gemini 3.1 Flash

$1.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9050.0%vs8680.0%
Claude Opus 4
Gemini 3.1 Flash
HumanEvalPython coding & logic synthesis
9300.0%vs8850.0%
Claude Opus 4
Gemini 3.1 Flash
MATHComplex mathematical problem solving
8540.0%vs7820.0%
Claude Opus 4
Gemini 3.1 Flash
GPQAGraduate-level expert reasoning
7230.0%vs6050.0%
Claude Opus 4
Gemini 3.1 Flash
HellaSwagCommonsense reasoning and inference
9650.0%vs9520.0%
Claude Opus 4
Gemini 3.1 Flash
MT-BenchMulti-turn conversation flow quality
945.0%vs900.0%
Claude Opus 4
Gemini 3.1 Flash

Claude Opus 4 Quirks & Gotchas

No developer gotchas reported.

Gemini 3.1 Flash Quirks & Gotchas

  • Most cost-effective Google model — ideal for high-volume pipelines
  • Context caching available via Vertex AI for repeated document processing