Standard Compute
Cost per coding-agent request

Is Gemini 3.1 Pro or GPT-5.6 Sol cheaper for coding agents?

For coding agents, GPT-5.6 Sol costs 1.7x as much as Gemini 3.1 Pro per request ($0.17 vs $0.095 on our measured traffic), because GPT-5.6 Sol lists at $4 input, $0.40 cached input and $20 output per million tokens against $2, $0.20 and $12 for Gemini 3.1 Pro, and both charge more for long prompts.

List prices: Gemini API pricing, OpenAI API pricing, checked 2026-10-13. Request costs: Standard Compute gateway data, 79,301 coding-agent requests from 75 users, Sep 13 to Oct 12, 2026. How we compute this

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Cost per coding-agent request, side by side

Cost at list priceGemini 3.1 ProGPT-5.6 Sol
Prompt under 100K tokens50% of requests, 87% of input cached$0.032$0.062
Prompt of 100K to 272K39% of requests, 88% of input cached$0.11$0.16
Prompt over 272K tokens11% of requests, 86% of input cached$0.34$0.68
Average request$0.095$0.17
100 requests$9.48$16.50
Median session16 requests; a session ends after 10 idle minutes$0.93$1.80
A month of regular usemedian of 20 users active on 5+ days$135$233

Each logged request priced at the vendor’s list rates for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request.

Benchmarks, speed and latency, side by side

Artificial AnalysisGemini 3.1 ProGPT-5.6 Sol
Intelligence Index10 evaluations, 0 to 1003047
Terminal-Bench 4.0agentic coding in a terminal4.0%39.9%
Output speedmedian144 tokens/s94 tokens/s
Time to first answer tokenincludes thinking time23 s2.1 min

Source: Artificial Analysis (artificialanalysis.ai). Measured variants: Gemini 3.1 Pro Preview, speed on Google; GPT-5.6 Sol (Max), speed on OpenAI. Fetched October 13, 2026. Artificial Analysis runs Terminal-Bench 4.0 in its own setup, so its scores differ from the tbench.ai leaderboard.

What to watch for

GPT-5.6 Sol is superseded: GPT-6.1 Sol costs $0.067 per request. GPT-5.6 Sol scores clearly higher on the benchmarks above, so it may finish hard tasks in fewer steps.

FAQ

Is Gemini 3.1 Pro cheaper than GPT-5.6 Sol for coding agents?
Yes, at list prices. 100 average coding-agent requests cost $9.48 on Gemini 3.1 Pro and $16.50 on GPT-5.6 Sol. A median 16-request session costs $0.93 vs $1.80. Measured on 79,301 real coding-agent requests (Sep 13 to Oct 12, 2026).
How much does a month of GPT-5.6 Sol vs Gemini 3.1 Pro cost?
For the median regular user in our data (1,478 requests in 30 days), about $233 on GPT-5.6 Sol and $135 on Gemini 3.1 Pro at list price. Heavier users pay proportionally more.
Gemini 3.1 Pro vs GPT-5.6 Sol: which is better for agents?
GPT-5.6 Sol scores higher on output quality (8.6/10 vs 6.4/10), while GPT-5.6 Sol is the cheaper option. Gemini 3.1 Pro is best for long multimodal inputs and Gemini CLI setups that still pin 3.1 Pro; GPT-5.6 Sol is best for existing GPT-5.6 Sol setups until they move to GPT-6.1 Sol. Live community votes on this page show what people actually prefer.
Can I switch between Gemini 3.1 Pro and GPT-5.6 Sol in the same agent?
Yes. Model-agnostic agents (Cline, Aider, OpenClaw, Hermes Agent, Kilo Code, OpenCode) let you swap models per task. Many people route hard tasks to the stronger model and routine work to the cheaper one.

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality

Correctness and depth of what it produces

Agentic Ability

Tool calls, instruction-following, and multi-step tasks

Speed

Tokens per second and time-to-first-token

Value for Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Related comparisons

Setting it up? Gemini 3.1 Pro: model ID, providers and agent config · GPT-5.6 Sol: model ID, providers and agent config

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