GPT Audio Mini vs Qwen2.5 VL 72B Instruct

Qwen2.5 VL 72B Instruct costs 2.4x less per output token than GPT Audio Mini ($1.00 vs $2.40 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT Audio Mini Replace Qwen2.5 VL 72B Instruct

GPT Audio MiniOpenAI

Coding: No data
Overall: No data
Output $/M: $2.40

Qwen2.5 VL 72B InstructQwen

Coding: No data
Overall: No data
Output $/M: $1.00

vs $2.40 vs $1.00 per 1M output tokens. Qwen2.5 VL 72B Instruct is 2.4x cheaper.

GPT Audio Mini or Qwen2.5 VL 72B Instruct: which to pick

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

Compare them on price, context and the boards below.

Model AGPT Audio MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task Model BQwen2.5 VL 72B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT Audio Mini has none yet; 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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
No call
Both take 128K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen2.5 VL 72B Instruct
GPT Audio Mini $0.0018, Qwen2.5 VL 72B Instruct $0.0013 per turn.
List prices

At a glance

Coding index: GPT Audio Mini 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: GPT Audio Mini $2.40 against Qwen2.5 VL 72B Instruct $1.00 per million output tokens, 2.4x apart.
Context window: Both take 128K tokens.

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 index1 board measured

Agentic work benchmarks for GPT Audio Mini and Qwen2.5 VL 72B Instruct
Benchmark	GPT Audio Mini	Qwen2.5 VL 72B Instruct	Leader
OSWorld	Not measured	5.0%	Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 40 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Reasoning benchmarks for GPT Audio Mini and Qwen2.5 VL 72B Instruct
Benchmark	GPT Audio Mini	Qwen2.5 VL 72B Instruct	Leader
Kagi LLM Benchmark	Not measured	36.0%	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 GPT Audio Mini and Qwen2.5 VL 72B Instruct
Benchmark	GPT Audio Mini	Qwen2.5 VL 72B Instruct	Leader
GeoBench	Not measured	62.0%	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 GPT Audio Mini and Qwen2.5 VL 72B Instruct
Benchmark	GPT Audio Mini	Qwen2.5 VL 72B Instruct	Leader
LMArena Vision	Not measured	1107	Only Qwen2.5 VL 72B Instruct measured
LMArena Vision: English	Not measured	1115	Only Qwen2.5 VL 72B Instruct measured
LMArena Vision: Chinese	Not measured	1107	Only 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

GPT Audio Mini$0.0018Fits 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

GPT Audio Mini$0.037Fits in one request

Qwen2.5 VL 72B Instruct$0.043Fits in one request

GPT Audio Mini costs less

Agent loop

200K input + 10K output tokens

GPT Audio Mini$0.144Exceeds the context window

Qwen2.5 VL 72B Instruct$0.170Exceeds the context window

GPT Audio Mini 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 GPT Audio Mini and Qwen2.5 VL 72B Instruct
Specification	OpenAI GPT Audio Mini	Qwen2.5 VL 72B Instruct
Maker	OpenAI	Qwen
Weights	No public weights listed	Open weights
Released	January 19, 2026	February 1, 2025
Context window	128K	128K
Input $/Mtok	$0.60	$0.80
Output $/Mtok	$2.40	$1.00
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT Audio Mini better than Qwen2.5 VL 72B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT Audio Mini or Qwen2.5 VL 72B Instruct?

GPT Audio Mini costs $0.60 per million input tokens and $2.40 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, GPT Audio Mini or Qwen2.5 VL 72B Instruct?

Neither: both take 128K tokens.

Has any benchmark tested both GPT Audio Mini and Qwen2.5 VL 72B Instruct?

No benchmark has tested both yet. GPT Audio Mini has none yet; 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.