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Gemini 3.1 Pro Preview Custom Tools vs GPT-5.6 Sol Pro

Gemini 3.1 Pro Preview Custom Tools costs 1.7x less per output token than GPT-5.6 Sol Pro ($12.00 vs $20.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Gemini 3.1 Pro Preview Custom ToolsGoogle
Coding
No data
Overall
No data
Output $/M
$12.00
GPT-5.6 Sol ProOpenAI
Coding
No data
Overall
No data
Output $/M
$20.00
vs $12.00 vs $20.00 per 1M output tokens. Gemini 3.1 Pro Preview Custom Tools is 1.7x cheaper.

Gemini 3.1 Pro Preview Custom Tools or GPT-5.6 Sol Pro: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 3.1 Pro Preview Custom Tools for output tokens 1.7x cheaper ($12.00 vs $20.00 per million).

No benchmark has tested both yet. Gemini 3.1 Pro Preview Custom Tools has results on Vending-Bench 2; GPT-5.6 Sol Pro on WeirdML, APEX-Agents and SimpleBench. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.1 Pro Preview Custom Tools not benchmarked, GPT-5.6 Sol Pro not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Gemini 3.1 Pro Preview Custom Tools $12.00 against GPT-5.6 Sol Pro $20.00 per million output tokens, 1.7x apart.
Context window
Gemini 3.1 Pro Preview Custom Tools takes 1.05M tokens, GPT-5.6 Sol Pro 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
Coding benchmarks for Gemini 3.1 Pro Preview Custom Tools and GPT-5.6 Sol Pro
BenchmarkGemini 3.1 Pro Preview Custom ToolsGPT-5.6 Sol ProLeader
WeirdMLNot measured89.4%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 38 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Gemini 3.1 Pro Preview Custom Tools and GPT-5.6 Sol Pro
BenchmarkGemini 3.1 Pro Preview Custom ToolsGPT-5.6 Sol ProLeader
APEX-AgentsNot measured51.4%Only GPT-5.6 Sol Pro measured
Vending-Bench 2$3,774Not measuredOnly Gemini 3.1 Pro Preview Custom Tools measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Gemini 3.1 Pro Preview Custom Tools and GPT-5.6 Sol Pro
BenchmarkGemini 3.1 Pro Preview Custom ToolsGPT-5.6 Sol ProLeader
SimpleBenchNot measured71.7%Only GPT-5.6 Sol Pro measured
Chess puzzlesNot measured68.0%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for Gemini 3.1 Pro Preview Custom Tools and GPT-5.6 Sol Pro
BenchmarkGemini 3.1 Pro Preview Custom ToolsGPT-5.6 Sol ProLeader
FrontierMath, tier 4Not measured80.5%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 12 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for Gemini 3.1 Pro Preview Custom Tools and GPT-5.6 Sol Pro
BenchmarkGemini 3.1 Pro Preview Custom ToolsGPT-5.6 Sol ProLeader
DTBenchNot measured96.0%Only GPT-5.6 Sol Pro measured
LMCANot measured59.2%Only GPT-5.6 Sol Pro measured
Neither model has a result on the other 44 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.1 Pro Preview Custom Tools$0.0080Fits in one request
GPT-5.6 Sol Pro$0.014Fits in one request

Gemini 3.1 Pro Preview Custom Tools costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Pro Preview Custom Tools$0.136Fits in one request
GPT-5.6 Sol Pro$0.260Fits in one request

Gemini 3.1 Pro Preview Custom Tools costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Pro Preview Custom Tools$0.520Fits in one request
GPT-5.6 Sol Pro$1.00Fits in one request

Gemini 3.1 Pro Preview Custom Tools costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.1 Pro Preview Custom Tools and GPT-5.6 Sol Pro
SpecificationGoogle Gemini 3.1 Pro Preview Custom ToolsOpenAI GPT-5.6 Sol Pro
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 25, 2026July 9, 2026
Context window1.05M1.05M
Input $/Mtok$2.00$4.00
Output $/Mtok$12.00$20.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Pro Preview Custom Tools better than GPT-5.6 Sol Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 3.1 Pro Preview Custom Tools for output tokens 1.7x cheaper ($12.00 vs $20.00 per million).

Which is cheaper, Gemini 3.1 Pro Preview Custom Tools or GPT-5.6 Sol Pro?

Gemini 3.1 Pro Preview Custom Tools costs $2.00 per million input tokens and $12.00 per million output tokens; GPT-5.6 Sol Pro costs $4.00 and $20.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 3.1 Pro Preview Custom Tools or GPT-5.6 Sol Pro?

GPT-5.6 Sol Pro, with 1.05M tokens against 1.05M.

Has any benchmark tested both Gemini 3.1 Pro Preview Custom Tools and GPT-5.6 Sol Pro?

No benchmark has tested both yet. Gemini 3.1 Pro Preview Custom Tools has results on Vending-Bench 2; GPT-5.6 Sol Pro on WeirdML, APEX-Agents and SimpleBench. Compare them on price and context instead. Data as of October 22, 2026.

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