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Gemini 3.1 Pro vs GPT-6 Sol: pricing and benchmarks

Both charge $2.00 per 1M input tokens. GPT-6 Sol is 17% cheaper on output tokens ($10.00 vs $12.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-6 Sol costs $1,100 a month versus $1,160 for Gemini 3.1 Pro, 5% less. Epoch AI has not published a capability index score for GPT-6 Sol yet.

Prices verified September 26, 2026.

Which should you choose?

Overall capability
Too close to call

Epoch AI has not published a capability index score for GPT-6 Sol yet.

Price
GPT-6 Sol

GPT-6 Sol costs $4.00 per 1M tokens (3:1 input-to-output mix) vs $4.50 for Gemini 3.1 Pro, 11% less.

Pricing and specs

Gemini 3.1 ProGPT-6 Sol
ProviderGoogleOpenAI
API model IDgemini-3.1-pro-previewgpt-6-sol
Input / 1M tokens$2.00$2.00
Cached input / 1M tokens$0.20$0.20
Output / 1M tokens$12.00$10.00
Long-context rates$4.00 in / $18.00 out above 200K prompt tokens$4.00 in / $15.00 out on long-context requests
Context window1.05M tokens1.05M tokens
Max output66K tokens128K tokens
Batch discount—50% off

Benchmarks

Gemini 3.1 ProGPT-6 Sol
Epoch Capabilities Index155.0—
GPQA Diamond· Science reasoning92.6%—
FrontierMath (Tiers 1–3)· Advanced math59.6%—
SimpleQA Verified· Factual accuracy73.5%—
ARC-AGI-2· Abstract reasoning77.1%—
DeepSWE· Coding11.7%—
APEX-Agents· Agentic work33.5%—

Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks

Monthly cost for real workloads

WorkloadGemini 3.1 ProGPT-6 SolDifference
Support chatbot
100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each.
$780.00$700.00GPT-6 Sol 10% cheaper
Document Q&A (RAG)
50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each.
$1,160$1,100GPT-6 Sol 5% cheaper
Coding agent
10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens.
$536.00$496.00GPT-6 Sol 7% cheaper

Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.

Gemini 3.1 Pro vs GPT-6 Sol cost calculator

Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.

Gemini 3.1 Pro pricing notes

Google’s Gemini 3.1 Pro model, currently offered as a preview.

  • Prompts over 200K tokens are billed at $4 input / $18 output per 1M tokens.
  • No free tier on the Gemini API.
  • Output price includes thinking tokens.
Google official pricing ↗

GPT-6 Sol pricing notes

OpenAI’s GPT-6 model built to power complex coding and agentic workflows.

  • Cache writes are billed at $2.50 per 1M tokens.
  • Fast mode costs 2x the standard rate; Flex costs half.
  • Regional (data residency) endpoints add a 10% uplift, and EU data residency is available only with standard processing.
OpenAI official pricing ↗

Frequently asked questions

Is Gemini 3.1 Pro cheaper than GPT-6 Sol?
Both charge $2.00 per 1M input tokens. GPT-6 Sol is 17% cheaper on output tokens ($10.00 vs $12.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-6 Sol costs $1,100 a month versus $1,160 for Gemini 3.1 Pro, 5% less.
Which is more capable, Gemini 3.1 Pro or GPT-6 Sol?
Epoch AI has not published a capability index score for GPT-6 Sol yet.
How much does Gemini 3.1 Pro cost per 1M tokens?
Gemini 3.1 Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens, and $0.20 per 1M cached input tokens on Google’s standard tier.
How much does GPT-6 Sol cost per 1M tokens?
GPT-6 Sol costs $2.00 per 1M input tokens and $10.00 per 1M output tokens, and $0.20 per 1M cached input tokens on OpenAI’s standard tier.
Which has the larger context window, Gemini 3.1 Pro or GPT-6 Sol?
GPT-6 Sol has the larger context window: 1.05M tokens versus 1.05M for Gemini 3.1 Pro.

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