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Claude Opus 4.6 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 4.6 and Gemini 3.1 Flash.

Anthropic

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

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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 4.6Gemini 3.1 Flash
ProviderAnthropicGoogle
Context Window1,000,000 tokens1,000,000 tokens
Agent Suitability95/10086/100
Time to First Token (TTFT)500 ms150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042026-04-20

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Gemini 3.1 Flash

$0.25

Output Price per Million Tokens

Claude Opus 4.6

$25.00

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
9250.0%vs8680.0%
Claude Opus 4.6
Gemini 3.1 Flash
HumanEvalPython coding & logic synthesis
9450.0%vs8850.0%
Claude Opus 4.6
Gemini 3.1 Flash
MATHComplex mathematical problem solving
8890.0%vs7820.0%
Claude Opus 4.6
Gemini 3.1 Flash
GPQAGraduate-level expert reasoning
7980.0%vs6050.0%
Claude Opus 4.6
Gemini 3.1 Flash
HellaSwagCommonsense reasoning and inference
9750.0%vs9520.0%
Claude Opus 4.6
Gemini 3.1 Flash
MT-BenchMulti-turn conversation flow quality
965.0%vs900.0%
Claude Opus 4.6
Gemini 3.1 Flash

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

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