Enter opens the highlighted result. Esc closes.

Gemini 3.1 Pro Preview Custom Tools vs Qwen2.5 VL 72B Instruct

Qwen2.5 VL 72B Instruct costs 12.0x less per output token than Gemini 3.1 Pro Preview Custom Tools ($1.00 vs $12.00 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
Qwen2.5 VL 72B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
vs $12.00 vs $1.00 per 1M output tokens. Qwen2.5 VL 72B Instruct is 12.0x cheaper.

Gemini 3.1 Pro Preview Custom Tools or Qwen2.5 VL 72B Instruct: 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 a larger context window (1.05M against 128K tokens).

No benchmark has tested both yet. Gemini 3.1 Pro Preview Custom Tools has results on Vending-Bench 2; Qwen2.5 VL 72B Instruct on OSWorld, Kagi LLM Benchmark and GeoBench. 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, Qwen2.5 VL 72B Instruct 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 Qwen2.5 VL 72B Instruct $1.00 per million output tokens, 12.0x apart.
Context window
Gemini 3.1 Pro Preview Custom Tools takes 1.05M tokens, Qwen2.5 VL 72B Instruct 128K.

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.

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 Qwen2.5 VL 72B Instruct
BenchmarkGemini 3.1 Pro Preview Custom ToolsQwen2.5 VL 72B InstructLeader
OSWorldNot measured5.0%Only Qwen2.5 VL 72B Instruct 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 index1 board measured
Reasoning benchmarks for Gemini 3.1 Pro Preview Custom Tools and Qwen2.5 VL 72B Instruct
BenchmarkGemini 3.1 Pro Preview Custom ToolsQwen2.5 VL 72B InstructLeader
Kagi LLM BenchmarkNot measured36.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 21 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Gemini 3.1 Pro Preview Custom Tools and Qwen2.5 VL 72B Instruct
BenchmarkGemini 3.1 Pro Preview Custom ToolsQwen2.5 VL 72B InstructLeader
GeoBenchNot measured62.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 17 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
General benchmarks for Gemini 3.1 Pro Preview Custom Tools and Qwen2.5 VL 72B Instruct
BenchmarkGemini 3.1 Pro Preview Custom ToolsQwen2.5 VL 72B InstructLeader
LMArena VisionNot measured1107Only Qwen2.5 VL 72B Instruct measured
LMArena Vision: EnglishNot measured1115Only Qwen2.5 VL 72B Instruct measured
LMArena Vision: ChineseNot measured1107Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 43 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
Qwen2.5 VL 72B Instruct$0.0013Fits in one request

Qwen2.5 VL 72B Instruct costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Pro Preview Custom Tools$0.136Fits in one request
Qwen2.5 VL 72B Instruct$0.043Fits in one request

Qwen2.5 VL 72B Instruct costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Pro Preview Custom Tools$0.520Fits in one request
Qwen2.5 VL 72B Instruct$0.170Exceeds the context window

Qwen2.5 VL 72B Instruct 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 Qwen2.5 VL 72B Instruct
SpecificationGoogle Gemini 3.1 Pro Preview Custom ToolsQwen2.5 VL 72B Instruct
MakerGoogleQwen
WeightsNo public weights listedOpen weights
ReleasedFebruary 25, 2026February 1, 2025
Context window1.05M128K
Input $/Mtok$2.00$0.80
Output $/Mtok$12.00$1.00
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 Qwen2.5 VL 72B Instruct 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 a larger context window (1.05M against 128K tokens).

Which is cheaper, Gemini 3.1 Pro Preview Custom Tools or Qwen2.5 VL 72B Instruct?

Gemini 3.1 Pro Preview Custom Tools costs $2.00 per million input tokens and $12.00 per million output tokens; Qwen2.5 VL 72B Instruct costs $0.80 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 3.1 Pro Preview Custom Tools or Qwen2.5 VL 72B Instruct?

Gemini 3.1 Pro Preview Custom Tools, with 1.05M tokens against 128K.

Has any benchmark tested both Gemini 3.1 Pro Preview Custom Tools and Qwen2.5 VL 72B Instruct?

No benchmark has tested both yet. Gemini 3.1 Pro Preview Custom Tools has results on Vending-Bench 2; Qwen2.5 VL 72B Instruct on OSWorld, Kagi LLM Benchmark and GeoBench. Compare them on price and context instead. Data as of October 22, 2026.

Compare next