Qwen2.5 VL 72B Instruct vs Llama 3.1 Euryale 70B v2.2

Qwen2.5 VL 72B Instruct and Llama 3.1 Euryale 70B v2.2 cost about the same per output token ($1.00 vs $0.85 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Replace Qwen2.5 VL 72B Instruct Replace Llama 3.1 Euryale 70B v2.2

Qwen2.5 VL 72B InstructQwen

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

S Llama 3.1 Euryale 70B v2.2Sao10K

Coding: No data
Overall: No data
Output $/M: $0.85

vs $1.00 vs $0.85 per 1M output tokens. Llama 3.1 Euryale 70B v2.2 is 1.2x cheaper.

Qwen2.5 VL 72B Instruct or Llama 3.1 Euryale 70B v2.2: 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 AQwen2.5 VL 72B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task Model BLlama 3.1 Euryale 70B v2.2Sao10KNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Qwen2.5 VL 72B Instruct has results on OSWorld, Kagi LLM Benchmark and GeoBench; Llama 3.1 Euryale 70B v2.2 has none yet. 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
Llama 3.1 Euryale 70B v2.2
Llama 3.1 Euryale 70B v2.2 takes 131K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 3.1 Euryale 70B v2.2
Qwen2.5 VL 72B Instruct $0.0013, Llama 3.1 Euryale 70B v2.2 $0.0013 per turn.
List prices

At a glance

Coding index: Qwen2.5 VL 72B Instruct not benchmarked, Llama 3.1 Euryale 70B v2.2 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 VL 72B Instruct $1.00 against Llama 3.1 Euryale 70B v2.2 $0.85 per million output tokens, 1.2x apart.
Context window: Qwen2.5 VL 72B Instruct takes 128K tokens, Llama 3.1 Euryale 70B v2.2 131K.

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 Qwen2.5 VL 72B Instruct and Llama 3.1 Euryale 70B v2.2
Benchmark	Qwen2.5 VL 72B Instruct	Llama 3.1 Euryale 70B v2.2	Leader
OSWorld	5.0%	Not measured	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 Qwen2.5 VL 72B Instruct and Llama 3.1 Euryale 70B v2.2
Benchmark	Qwen2.5 VL 72B Instruct	Llama 3.1 Euryale 70B v2.2	Leader
Kagi LLM Benchmark	36.0%	Not measured	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 Qwen2.5 VL 72B Instruct and Llama 3.1 Euryale 70B v2.2
Benchmark	Qwen2.5 VL 72B Instruct	Llama 3.1 Euryale 70B v2.2	Leader
GeoBench	62.0%	Not measured	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 Qwen2.5 VL 72B Instruct and Llama 3.1 Euryale 70B v2.2
Benchmark	Qwen2.5 VL 72B Instruct	Llama 3.1 Euryale 70B v2.2	Leader
LMArena Vision	1107	Not measured	Only Qwen2.5 VL 72B Instruct measured
LMArena Vision: English	1115	Not measured	Only Qwen2.5 VL 72B Instruct measured
LMArena Vision: Chinese	1107	Not measured	Only 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

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

Llama 3.1 Euryale 70B v2.2$0.0013Fits in one request

Llama 3.1 Euryale 70B v2.2 costs less

Repository review

50K input + 3K output tokens

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

Llama 3.1 Euryale 70B v2.2$0.045Fits in one request

Qwen2.5 VL 72B Instruct costs less

Agent loop

200K input + 10K output tokens

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

Llama 3.1 Euryale 70B v2.2$0.178Exceeds 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 Qwen2.5 VL 72B Instruct and Llama 3.1 Euryale 70B v2.2
Specification	Qwen2.5 VL 72B Instruct	Sao10K Llama 3.1 Euryale 70B v2.2
Maker	Qwen	Sao10K
Weights	Open weights	Open weights
Released	February 1, 2025	August 28, 2024
Context window	128K	131K
Input $/Mtok	$0.80	$0.85
Output $/Mtok	$1.00	$0.85
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 Qwen2.5 VL 72B Instruct better than Llama 3.1 Euryale 70B v2.2 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, Qwen2.5 VL 72B Instruct or Llama 3.1 Euryale 70B v2.2?

Qwen2.5 VL 72B Instruct costs $0.80 per million input tokens and $1.00 per million output tokens; Llama 3.1 Euryale 70B v2.2 costs $0.85 and $0.85. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen2.5 VL 72B Instruct or Llama 3.1 Euryale 70B v2.2?

Llama 3.1 Euryale 70B v2.2, with 131K tokens against 128K.

Has any benchmark tested both Qwen2.5 VL 72B Instruct and Llama 3.1 Euryale 70B v2.2?

No benchmark has tested both yet. Qwen2.5 VL 72B Instruct has results on OSWorld, Kagi LLM Benchmark and GeoBench; Llama 3.1 Euryale 70B v2.2 has none yet. Compare them on price and context instead. Data as of October 23, 2026.