Model Comparison

Google Gemini 3.1 Pro vs Anthropic Claude Sonnet 4.6

Compare the listed model data for Google Gemini 3.1 Pro by Google and Anthropic Claude Sonnet 4.6 by Anthropic. Benchmark and pricing records are not a controlled test and may change.

Data last updated: 2026-10-16. Verify current model details with each provider.

What the listed data says

Google Gemini 3.1 Pro: 1M tokens; Anthropic Claude Sonnet 4.6: 200K tokens. Google Gemini 3.1 Pro has the larger listed context window. Google Gemini 3.1 Pro is listed for coding, reasoning, vision, multimodal input, agentic workflows, long-context tasks; Anthropic Claude Sonnet 4.6 is listed for coding, reasoning, vision, multimodal input, agentic workflows, long-context tasks. Shared catalog benchmark entries: MMLU: Google Gemini 3.1 Pro 93.8%; Anthropic Claude Sonnet 4.6 88.7%; HumanEval: Google Gemini 3.1 Pro 92.1%; Anthropic Claude Sonnet 4.6 85.4%; GPQA: Google Gemini 3.1 Pro 78.3%; Anthropic Claude Sonnet 4.6 65.2%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Catalog source links

Use these model and provider links to verify current specifications, pricing, and availability.

Computed differences from catalog data

  • The listed context windows are 1M tokens and 200K tokens; the larger is 5× the smaller.
  • On shared numeric benchmark entries, MMLU: Google Gemini 3.1 Pro − Anthropic Claude Sonnet 4.6 = +5.1 percentage points (93.8% vs 88.7%); HumanEval: Google Gemini 3.1 Pro − Anthropic Claude Sonnet 4.6 = +6.7 percentage points (92.1% vs 85.4%); GPQA: Google Gemini 3.1 Pro − Anthropic Claude Sonnet 4.6 = +13.1 percentage points (78.3% vs 65.2%).
  • The first listed parameter quantities are ~300B+ (frontier MoE, exact size proprietary) and ~70B (balanced tier, exact size proprietary); the larger quantity is 4.29× the smaller. Total and active MoE parameters are not directly equivalent.
  • A release-date gap cannot be calculated from the catalog values (Google Gemini 3.1 Pro: 2026; Anthropic Claude Sonnet 4.6: 2026).

Cost example: 1M input and 1M output tokens

A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.

Choose Google Gemini 3.1 Pro if…

Choose Google Gemini 3.1 Pro when your task aligns with catalog-listed uses or strengths such as Enterprise multimodal analysis: video understanding, document comprehension, image analysis at scale, Scientific research synthesis from very long research corpora, Complex coding projects requiring codebase-wide context (1M tokens), Advanced mathematical reasoning and scientific problem solving.

Choose Anthropic Claude Sonnet 4.6 if…

Choose Anthropic Claude Sonnet 4.6 when your task aligns with catalog-listed uses or strengths such as Everyday professional coding: code review, bug fixing, feature implementation, Business writing: reports, emails, proposals, and documentation at volume, Customer support automation requiring nuanced, accurate responses, Research summarization and information extraction from documents.

Google Gemini 3.1 Pro

Browse Google models

Google's flagship multimodal model. Exceptional reasoning, code generation, and long-context understanding with native multimodal capabilities.

Parameters: ~300B+ (frontier MoE, exact size proprietary)

Context: 1M tokens

Catalog pricing: Via LITHOVEX AI free. Google Gemini API rates apply.

Google Coding · Reasoning · Vision · Multimodal · Agentic · Long Context

View Google Gemini 3.1 Pro model profile

Anthropic Claude Sonnet 4.6

Browse Anthropic models

Claude Sonnet 4.6 — Anthropic's fast, balanced model. High intelligence with low latency for everyday tasks and production use.

Parameters: ~70B (balanced tier, exact size proprietary)

Context: 200K tokens

Catalog pricing: Via LITHOVEX AI free. Anthropic API: mid-tier.

Anthropic Coding · Reasoning · Vision · Multimodal · Agentic · Long Context

View Anthropic Claude Sonnet 4.6 model profile

Feature Comparison — Google Gemini 3.1 Pro vs Anthropic Claude Sonnet 4.6

Catalog specifications for Google Gemini 3.1 Pro and Anthropic Claude Sonnet 4.6
Specification Google Gemini 3.1 Pro Anthropic Claude Sonnet 4.6
Provider Google Anthropic
Parameters ~300B+ (frontier MoE, exact size proprietary) ~70B (balanced tier, exact size proprietary)
Context window 1M tokens 200K tokens
Maximum output Not listed Not listed
Catalog pricing Via LITHOVEX AI free. Google Gemini API rates apply. Via LITHOVEX AI free. Anthropic API: mid-tier.
Listed input/output cost per 1M tokens Separate numeric input/output rates not listed input $3, output $15 per 1M tokens
License Proprietary Proprietary
Coding support Listed Listed
Reasoning support Listed Listed
Vision input Listed Listed
Multimodal Listed Listed
Open weights No No
Benchmark: MMLU 93.8% 88.7%
Benchmark: HumanEval 92.1% 85.4%
Benchmark: GPQA 78.3% 65.2%

Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.

Frequently Asked Questions

What is different between Google Gemini 3.1 Pro and Anthropic Claude Sonnet 4.6?
Google Gemini 3.1 Pro: 1M tokens; Anthropic Claude Sonnet 4.6: 200K tokens. Google Gemini 3.1 Pro has the larger listed context window. Google Gemini 3.1 Pro is listed for coding, reasoning, vision, multimodal input, agentic workflows, long-context tasks; Anthropic Claude Sonnet 4.6 is listed for coding, reasoning, vision, multimodal input, agentic workflows, long-context tasks. Shared catalog benchmark entries: MMLU: Google Gemini 3.1 Pro 93.8%; Anthropic Claude Sonnet 4.6 88.7%; HumanEval: Google Gemini 3.1 Pro 92.1%; Anthropic Claude Sonnet 4.6 85.4%; GPQA: Google Gemini 3.1 Pro 78.3%; Anthropic Claude Sonnet 4.6 65.2%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Google Gemini 3.1 Pro and Anthropic Claude Sonnet 4.6?
MMLU: Google Gemini 3.1 Pro 93.8%; Anthropic Claude Sonnet 4.6 88.7%; HumanEval: Google Gemini 3.1 Pro 92.1%; Anthropic Claude Sonnet 4.6 85.4%; GPQA: Google Gemini 3.1 Pro 78.3%; Anthropic Claude Sonnet 4.6 65.2%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Google Gemini 3.1 Pro: 1M tokens; Anthropic Claude Sonnet 4.6: 200K tokens. Google Gemini 3.1 Pro has the larger listed context window.
What are the listed costs per million tokens for Google Gemini 3.1 Pro and Anthropic Claude Sonnet 4.6?
Google Gemini 3.1 Pro: Separate numeric input/output rates not listed (Via LITHOVEX AI free. Google Gemini API rates apply.). Anthropic Claude Sonnet 4.6: input $3, output $15 per 1M tokens (Via LITHOVEX AI free. Anthropic API: mid-tier.). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Google Gemini 3.1 Pro and Anthropic Claude Sonnet 4.6?
The catalog lists Google Gemini 3.1 Pro as 2026 and Anthropic Claude Sonnet 4.6 as 2026; a release-date gap cannot be calculated from both records.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Google Gemini 3.1 Pro and Anthropic Claude Sonnet 4.6?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.

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