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Llama Guard 4 12B vs Qwen2.5 VL 72B Instruct

Llama Guard 4 12B costs 5.6x less per output token than Qwen2.5 VL 72B Instruct ($0.18 vs $1.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Llama Guard 4 12B Replace Qwen2.5 VL 72B Instruct
Llama Guard 4 12BMeta Llama
Coding
No data
Overall
No data
Output $/M
$0.18
Qwen2.5 VL 72B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
vs $0.18 vs $1.00 per 1M output tokens. Llama Guard 4 12B is 5.6x cheaper.

Llama Guard 4 12B 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 Llama Guard 4 12B for output tokens 5.6x cheaper ($0.18 vs $1.00 per million) and a larger context window (164K against 128K tokens).

Model ALlama Guard 4 12BMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen2.5 VL 72B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Llama Guard 4 12B 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.

At a glance

Coding index
Llama Guard 4 12B 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
Llama Guard 4 12B $0.18 against Qwen2.5 VL 72B Instruct $1.00 per million output tokens, 5.6x apart.
Context window
Llama Guard 4 12B takes 164K 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 index1 board measured
Agentic work benchmarks for Llama Guard 4 12B and Qwen2.5 VL 72B Instruct
BenchmarkLlama Guard 4 12BQwen2.5 VL 72B InstructLeader
OSWorldNot measured5.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Reasoning benchmarks for Llama Guard 4 12B and Qwen2.5 VL 72B Instruct
BenchmarkLlama Guard 4 12BQwen2.5 VL 72B InstructLeader
Kagi LLM BenchmarkNot measured36.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 22 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Llama Guard 4 12B and Qwen2.5 VL 72B Instruct
BenchmarkLlama Guard 4 12BQwen2.5 VL 72B InstructLeader
GeoBenchNot measured62.0%Only Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 19 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
General benchmarks for Llama Guard 4 12B and Qwen2.5 VL 72B Instruct
BenchmarkLlama Guard 4 12BQwen2.5 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 45 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

Llama Guard 4 12B$0.0003Fits in one request
Qwen2.5 VL 72B Instruct$0.0013Fits in one request

Llama Guard 4 12B costs less

Repository review

50K input + 3K output tokens

Llama Guard 4 12B$0.0095Fits in one request
Qwen2.5 VL 72B Instruct$0.043Fits in one request

Llama Guard 4 12B costs less

Agent loop

200K input + 10K output tokens

Llama Guard 4 12B$0.038Exceeds the context window
Qwen2.5 VL 72B Instruct$0.170Exceeds the context window

Llama Guard 4 12B 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 Llama Guard 4 12B and Qwen2.5 VL 72B Instruct
SpecificationMeta Llama Guard 4 12BQwen2.5 VL 72B Instruct
MakerMeta LlamaQwen
WeightsOpen weightsOpen weights
ReleasedApril 30, 2025February 1, 2025
Context window164K128K
Input $/Mtok$0.18$0.80
Output $/Mtok$0.18$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama Guard 4 12B 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 Llama Guard 4 12B for output tokens 5.6x cheaper ($0.18 vs $1.00 per million) and a larger context window (164K against 128K tokens).

Which is cheaper, Llama Guard 4 12B or Qwen2.5 VL 72B Instruct?

Llama Guard 4 12B costs $0.18 per million input tokens and $0.18 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, Llama Guard 4 12B or Qwen2.5 VL 72B Instruct?

Llama Guard 4 12B, with 164K tokens against 128K.

Has any benchmark tested both Llama Guard 4 12B and Qwen2.5 VL 72B Instruct?

No benchmark has tested both yet. Llama Guard 4 12B 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.

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