TechCompare LogoTechCompare

Gemini 3.1 Pro vs Claude Sonnet 4.6: the developer API cost face-off

Gemini 3.1 Pro is more economical across the board for both base input and output costs. Claude Sonnet 4.6 is preferred if you need Anthropic's specific coding and instruction-following strengths.

Coding workhorses and reasoning model showdown.

For complex coding and agentic reasoning, Gemini 3.1 Pro and Claude Sonnet 4.6 are the top contenders. Their cost structures depend heavily on prompt caching efficiency.

By TechCompare · Updated

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.

Option A
Gemini 3.1 Pro (<=200k)
Wins 3 of 4 compared specs
Option B
Claude Sonnet 4.6
Wins 0 of 4 compared specs

Side-by-side specs

SpecGemini 3.1 Pro (<=200k)Claude Sonnet 4.6
Input Cost (per M)$2.00 (better on this spec)$3.00
Output Cost (per M)$12.00 (better on this spec)$15.00
Cached Input (per M)$0.20 (better on this spec)$0.30
Batch Discount50%50%

How they differ

Gemini 3.1 Pro costs $2.00 per million input tokens and $12.00 per million output tokens, with a 75% cache discount. Claude Sonnet 4.6 is priced at $3.00 per million input tokens and $15.00 per million output tokens, also with a 90% cache discount.

Verdict

Gemini charges $2.00/M input and $12.00/M output against Sonnet's $3.00 and $15.00, so it wins every base row by 33% on input and 20% on output. The cached row flips: Sonnet's deeper 90% discount lands at $0.30/M against Gemini's $0.50/M (75% off $2.00), so heavy prompt reuse favors Sonnet on input. Sonnet's other edge is ergonomic: tighter tool use and instruction following, plus a 500K context that is usually enough for agentic loops. Pick it for the cache and the ergonomics, not the base bill.

Which should you pick?

Choose Gemini 3.1 Pro (<=200k)

Massive context size processing (up to 2M tokens) and general cost savings.

Choose Claude Sonnet 4.6

State-of-the-art multi-file code editing, tool use, and agentic loops.

Related comparisons

GPT-5.4 vs Claude Sonnet 4.6
The workhorse model pricing showdown.
Read comparison ➜
Claude Opus 4.7 vs DeepSeek V4 Pro
Frontier reasoning versus optimized price-performance.
Read comparison ➜
DeepSeek V4 Pro vs Mistral Large 3
Serverless pricing versus flagship open weights.
Read comparison ➜
Gemini 3.5 Flash vs GPT-5.4 Mini
Fast, lightweight multimodal models comparison.
Read comparison ➜
Gemini 3.5 Flash vs Claude Sonnet 4.6
Speedy utility model versus premium reasoning flagship.
Read comparison ➜
Gemini 3.5 Flash vs GPT-5.4
Utility cost versus premium flagship performance.
Read comparison ➜

Frequently asked questions

Is Gemini 3.1 Pro or Claude Sonnet 4.6 cheaper for long-context coding?
Gemini 3.1 Pro. At $2.00/M input and $12.00/M output it beats Sonnet 4.6's $3.00/M and $15.00/M across every row. The 2M token context window also means you can drop entire repositories into a single call without the chunking Sonnet 4.5's 500K context would require.
Which has the larger context window, Gemini 3.1 Pro or Claude Sonnet 4.6?
Gemini 3.1 Pro offers 2M tokens, while Claude Sonnet 4.6 offers 500K. For multi-file code analysis, RAG over large corpora, or whole-book synthesis, Gemini's 4x larger window eliminates most chunking overhead. Sonnet 4.6's smaller window is rarely the bottleneck for agentic loops with cached context.
How does the 75% vs 90% caching discount change the math?
Gemini 3.1 Pro's cached input is $0.50/M (75% off $2.00), while Claude Sonnet 4.6's is $0.30/M (90% off $3.00). Sonnet's deeper 90% discount wins on cached cost, reversing the base-row lead. The 75% discount is less aggressive proportionally, so on cached workloads Sonnet pulls ahead in absolute dollars.