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Qwen2.5 7B Instruct vs Qwen2.5 VL 72B Instruct

Qwen2.5 7B Instruct costs 5.0x less per output token than Qwen2.5 VL 72B Instruct ($0.20 vs $1.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Qwen2.5 7B InstructQwen
Coding
No data
Overall
No data
Output $/M
$0.20
Qwen2.5 VL 72B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
vs $0.20 vs $1.00 per 1M output tokens. Qwen2.5 7B Instruct is 5.0x cheaper.

Qwen2.5 7B Instruct 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 Qwen2.5 7B Instruct for output tokens 5.0x cheaper ($0.20 vs $1.00 per million).

No benchmark has tested both yet. Qwen2.5 7B Instruct has results on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run); 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
Qwen2.5 7B Instruct 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
Qwen2.5 7B Instruct $0.20 against Qwen2.5 VL 72B Instruct $1.00 per million output tokens, 5.0x apart.
Context window
Qwen2.5 7B Instruct takes 33K 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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Qwen2.5 7B Instruct and Qwen2.5 VL 72B Instruct
BenchmarkQwen2.5 7B InstructQwen2.5 VL 72B InstructLeader
Epoch Capabilities Index118.5Not measuredOnly Qwen2.5 7B Instruct measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Qwen2.5 7B Instruct and Qwen2.5 VL 72B Instruct
BenchmarkQwen2.5 7B InstructQwen2.5 VL 72B InstructLeader
BALROG7.8%Not measuredOnly Qwen2.5 7B Instruct measured
OSWorldNot measured5.0%Only Qwen2.5 VL 72B Instruct 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 Qwen2.5 7B Instruct and Qwen2.5 VL 72B Instruct
BenchmarkQwen2.5 7B InstructQwen2.5 VL 72B InstructLeader
GPQA Diamond (Epoch AI run)35.5%Not measuredOnly Qwen2.5 7B Instruct measured
Kagi LLM BenchmarkNot measured36.0%Only Qwen2.5 VL 72B Instruct 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 Qwen2.5 7B Instruct and Qwen2.5 VL 72B Instruct
BenchmarkQwen2.5 7B InstructQwen2.5 VL 72B InstructLeader
OTIS Mock AIME2.5%Not measuredOnly Qwen2.5 7B Instruct measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Knowledge benchmarks for Qwen2.5 7B Instruct and Qwen2.5 VL 72B Instruct
BenchmarkQwen2.5 7B InstructQwen2.5 VL 72B InstructLeader
MMLU72.9%Not measuredOnly Qwen2.5 7B Instruct measured
GeoBenchNot measured62.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 16 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
General benchmarks for Qwen2.5 7B Instruct and Qwen2.5 VL 72B Instruct
BenchmarkQwen2.5 7B InstructQwen2.5 VL 72B InstructLeader
DTBench47.7%Not measuredOnly Qwen2.5 7B Instruct measured
LMCA6.4%Not measuredOnly Qwen2.5 7B Instruct measured
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 41 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

Qwen2.5 7B Instruct$0.0002Fits in one request
Qwen2.5 VL 72B Instruct$0.0013Fits in one request

Qwen2.5 7B Instruct costs less

Repository review

50K input + 3K output tokens

Qwen2.5 7B Instruct$0.0056Exceeds the context window
Qwen2.5 VL 72B Instruct$0.043Fits in one request

Qwen2.5 7B Instruct costs less

Agent loop

200K input + 10K output tokens

Qwen2.5 7B Instruct$0.022Exceeds the context window
Qwen2.5 VL 72B Instruct$0.170Exceeds the context window

Qwen2.5 7B 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 Qwen2.5 7B Instruct and Qwen2.5 VL 72B Instruct
SpecificationQwen2.5 7B InstructQwen2.5 VL 72B Instruct
MakerQwenQwen
WeightsOpen weightsOpen weights
ReleasedOctober 16, 2024February 1, 2025
Context window33K128K
Input $/Mtok$0.10$0.80
Output $/Mtok$0.20$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen2.5 7B Instruct 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 Qwen2.5 7B Instruct for output tokens 5.0x cheaper ($0.20 vs $1.00 per million).

Which is cheaper, Qwen2.5 7B Instruct or Qwen2.5 VL 72B Instruct?

Qwen2.5 7B Instruct costs $0.10 per million input tokens and $0.20 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, Qwen2.5 7B Instruct or Qwen2.5 VL 72B Instruct?

Qwen2.5 VL 72B Instruct, with 128K tokens against 33K.

Has any benchmark tested both Qwen2.5 7B Instruct and Qwen2.5 VL 72B Instruct?

No benchmark has tested both yet. Qwen2.5 7B Instruct has results on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run); 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.

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