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Qwen2.5 VL 72B Instruct vs Qwen3 Coder 480B A35B

Qwen2.5 VL 72B Instruct costs 1.5x less per output token than Qwen3 Coder 480B A35B ($1.00 vs $1.50 per million). Updated October 21, 2026; 1 benchmarks have a result for both.

Qwen2.5 VL 72B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.00
0
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
1
vs boards won of 1 shared

Qwen2.5 VL 72B Instruct or Qwen3 Coder 480B A35B: which to pick

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

Pick Qwen2.5 VL 72B Instruct for output tokens 1.5x cheaper ($1.00 vs $1.50 per million) and work measured by Kagi LLM Benchmark, where it leads.

Shared results
1
Qwen2.5 VL 72B Instruct only
5
Qwen3 Coder 480B A35B only
52
Like-for-like categories
1 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 VL 72B Instruct not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Reasoning, 13.5 points apart on average over 1 shared benchmark.
Widest single gap
Kagi LLM Benchmark: Qwen2.5 VL 72B Instruct 36.0% against Qwen3 Coder 480B A35B 49.5%, 13.5 points apart on a 0 to 100 scale.
Output price
Qwen2.5 VL 72B Instruct $1.00 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.5x apart.
Context window
Qwen2.5 VL 72B Instruct takes 128K tokens, Qwen3 Coder 480B A35B 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryQwen2.5 VL 72B InstructBarsQwen3 Coder 480B A35BTies
Reasoning01
All shared boards01
CodingDirectional onlySix of these boards feed the Vibe Coding Index12 boards, none shared
Coding benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Artificial Analysis run)Not measured58.5%Only Qwen3 Coder 480B A35B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured18.9%Only Qwen3 Coder 480B A35B measured
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdMLNot measured41.2%Only Qwen3 Coder 480B A35B measured
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: codingNot measured1412Only Qwen3 Coder 480B A35B measured
LMArena Text: software and ITNot measured1393Only Qwen3 Coder 480B A35B measured
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 27 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
AA Intelligence IndexNot measured11.9Only Qwen3 Coder 480B A35B 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, none shared
Agentic work benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
τ²-Bench TelecomNot measured43.6%Only Qwen3 Coder 480B A35B measured
OSWorld5.0%Not measuredOnly Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)Not measured61.8%Only Qwen3 Coder 480B A35B measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.5%Only Qwen3 Coder 480B A35B measured
LMArena Text: hard promptsNot measured1372Only Qwen3 Coder 480B A35B measured
LMArena Text: expertNot measured1338Only Qwen3 Coder 480B A35B measured
LMArena Text: hard prompts in EnglishNot measured1380Only Qwen3 Coder 480B A35B measured
Kagi LLM Benchmark36.0%49.5%Qwen3 Coder 480B A35B
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Math benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
AA Math IndexNot measured39.3Only Qwen3 Coder 480B A35B measured
AIME 2025 (Artificial Analysis run)Not measured39.3%Only Qwen3 Coder 480B A35B measured
LMArena Text: mathNot measured1365Only Qwen3 Coder 480B A35B measured
LMArena Text: mathematical workNot measured1367Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)Not measured78.8%Only Qwen3 Coder 480B A35B measured
GeoBench62.0%Not measuredOnly Qwen2.5 VL 72B Instruct measured
LMArena Text: scienceNot measured1347Only Qwen3 Coder 480B A35B measured
LMArena Text: medicine and healthcareNot measured1347Only Qwen3 Coder 480B A35B measured
LMArena Text: legal and governmentNot measured1358Only Qwen3 Coder 480B A35B measured
LMArena Text: business and financeNot measured1343Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
Design Arena: websitesNot measured1159Only Qwen3 Coder 480B A35B measured
Design Arena: UI componentsNot measured1113Only Qwen3 Coder 480B A35B measured
Design Arena: game devNot measured1099Only Qwen3 Coder 480B A35B measured
Design Arena: data vizNot measured1084Only Qwen3 Coder 480B A35B measured
Design Arena: all code categoriesNot measured1143Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 4 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index22 boards, none shared
General benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
IFBenchNot measured40.5%Only Qwen3 Coder 480B A35B measured
Long context reasoning (AA-LCR)Not measured45.7%Only Qwen3 Coder 480B A35B measured
LMArena TextNot measured1357Only Qwen3 Coder 480B A35B measured
LMArena Text: instruction followingNot measured1355Only Qwen3 Coder 480B A35B measured
LMArena Text: creative writingNot measured1333Only Qwen3 Coder 480B A35B measured
LMArena Vision1107Not measuredOnly Qwen2.5 VL 72B Instruct measured
LMArena Text: EnglishNot measured1359Only Qwen3 Coder 480B A35B measured
LMArena Text: non-EnglishNot measured1346Only Qwen3 Coder 480B A35B measured
LMArena Text: ChineseNot measured1357Only Qwen3 Coder 480B A35B measured
LMArena Text: GermanNot measured1325Only Qwen3 Coder 480B A35B measured
LMArena Text: JapaneseNot measured1311Only Qwen3 Coder 480B A35B measured
LMArena Text: KoreanNot measured1305Only Qwen3 Coder 480B A35B measured
LMArena Text: FrenchNot measured1398Only Qwen3 Coder 480B A35B measured
LMArena Text: SpanishNot measured1360Only Qwen3 Coder 480B A35B measured
LMArena Text: RussianNot measured1366Only Qwen3 Coder 480B A35B measured
LMArena Text: PolishNot measured1344Only Qwen3 Coder 480B A35B measured
LMArena Text: multi-turnNot measured1366Only Qwen3 Coder 480B A35B measured
LMArena Text: longer queriesNot measured1378Only Qwen3 Coder 480B A35B measured
LMArena Text: writing and languageNot measured1340Only Qwen3 Coder 480B A35B measured
LMArena Text: entertainment and mediaNot measured1317Only Qwen3 Coder 480B A35B measured
LMArena Vision: English1115Not measuredOnly Qwen2.5 VL 72B Instruct measured
LMArena Vision: Chinese1107Not measuredOnly Qwen2.5 VL 72B Instruct measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen2.5 VL 72B Instruct and Qwen3 Coder 480B A35B
BenchmarkQwen2.5 VL 72B InstructQwen3 Coder 480B A35BLeader
Neither model has a result on 5 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
Qwen3 Coder 480B A35B$0.0010Fits in one request

Qwen3 Coder 480B A35B costs less

Repository review

50K input + 3K output tokens

Qwen2.5 VL 72B Instruct$0.043Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

Qwen3 Coder 480B A35B costs less

Agent loop

200K input + 10K output tokens

Qwen2.5 VL 72B Instruct$0.170Exceeds the context window
Qwen3 Coder 480B A35B$0.075Fits in one request

Qwen3 Coder 480B A35B 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 Qwen3 Coder 480B A35B
SpecificationQwen2.5 VL 72B InstructQwen3 Coder 480B A35B
MakerQwenQwen
WeightsOpen weightsOpen weights
ReleasedFebruary 1, 2025July 23, 2025
Context window128K262K
Input $/Mtok$0.80$0.30
Output $/Mtok$1.00$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen2.5 VL 72B Instruct better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen2.5 VL 72B Instruct for output tokens 1.5x cheaper ($1.00 vs $1.50 per million) and work measured by Kagi LLM Benchmark, where it leads.

Which is cheaper, Qwen2.5 VL 72B Instruct or Qwen3 Coder 480B A35B?

Qwen2.5 VL 72B Instruct costs $0.80 per million input tokens and $1.00 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen2.5 VL 72B Instruct or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 128K.

How many benchmarks is the Qwen2.5 VL 72B Instruct vs Qwen3 Coder 480B A35B comparison based on?

1 benchmarks have a result for both models as of October 21, 2026. Qwen2.5 VL 72B Instruct's coding index rests on 0 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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