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Phi 4 vs Qwen3 Coder 480B A35B

Qwen3 Coder 480B A35B leads Phi 4 on the Artificial Analysis Intelligence Index, 11.9 to 5.9, and Phi 4 costs 10.7x less per output token ($0.14 vs $1.50 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Phi 4Microsoft
Coding
No data
Overall
24.7
Output $/M
$0.14
0
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
38
vs boards won of 38 shared

Phi 4 or Qwen3 Coder 480B A35B: which to pick

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

Pick Phi 4 for output tokens 10.7x cheaper ($0.14 vs $1.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
38
Phi 4 only
8
Qwen3 Coder 480B A35B only
15
Like-for-like categories
7 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
Phi 4 not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Agentic work, 43.6 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Phi 4 0.0% against Qwen3 Coder 480B A35B 45.7%, 45.7 points apart on a 0 to 100 scale.
Output price
Phi 4 $0.14 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 10.7x apart.
Context window
Phi 4 takes 16K 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
CategoryPhi 4BarsQwen3 Coder 480B A35BTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math04
Knowledge05
General018
All shared boards038
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 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)23.1%58.5%Qwen3 Coder 480B A35B
Terminal-Bench Hard (Artificial Analysis run)3.8%18.9%Qwen3 Coder 480B A35B
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: coding12311412Qwen3 Coder 480B A35B
LMArena Text: software and IT12281393Qwen3 Coder 480B A35B
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
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 Coder 480B A35BLeader
AA Intelligence Index5.911.9Qwen3 Coder 480B A35B
Epoch Capabilities Index130.5Not measuredOnly Phi 4 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 Coder 480B A35BLeader
τ²-Bench Telecom0.0%43.6%Qwen3 Coder 480B A35B
BALROG11.6%Not measuredOnly Phi 4 measured
Berkeley Function Calling Leaderboard (BFCL)28.8%Not measuredOnly Phi 4 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 Coder 480B A35BLeader
GPQA Diamond (Artificial Analysis run)57.5%61.8%Qwen3 Coder 480B A35B
Humanity's Last Exam (Artificial Analysis run)3.8%4.5%Qwen3 Coder 480B A35B
GPQA Diamond (Epoch AI run)56.1%Not measuredOnly Phi 4 measured
LMArena Text: hard prompts12201372Qwen3 Coder 480B A35B
LMArena Text: expert12031338Qwen3 Coder 480B A35B
LMArena Text: hard prompts in English12301380Qwen3 Coder 480B A35B
Kagi LLM BenchmarkNot measured49.5%Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 Coder 480B A35BLeader
AA Math Index18.039.3Qwen3 Coder 480B A35B
AIME 2025 (Artificial Analysis run)18.0%39.3%Qwen3 Coder 480B A35B
OTIS Mock AIME13.8%Not measuredOnly Phi 4 measured
MATH level 564.9%Not measuredOnly Phi 4 measured
LMArena Text: math12461365Qwen3 Coder 480B A35B
LMArena Text: mathematical work12541367Qwen3 Coder 480B A35B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 Coder 480B A35BLeader
MMLU Pro (Artificial Analysis run)71.4%78.8%Qwen3 Coder 480B A35B
MMLU84.8%Not measuredOnly Phi 4 measured
LMArena Text: science12061347Qwen3 Coder 480B A35B
LMArena Text: medicine and healthcare12021347Qwen3 Coder 480B A35B
LMArena Text: legal and government12411358Qwen3 Coder 480B A35B
LMArena Text: business and finance11991343Qwen3 Coder 480B A35B
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 Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 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
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 Coder 480B A35BLeader
IFBench23.5%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)0.0%45.7%Qwen3 Coder 480B A35B
Creative writing (Lech Mazur)62.6%Not measuredOnly Phi 4 measured
LMArena Text12171357Qwen3 Coder 480B A35B
LMArena Text: instruction following12011355Qwen3 Coder 480B A35B
LMArena Text: creative writing11811333Qwen3 Coder 480B A35B
LMArena Text: English12311359Qwen3 Coder 480B A35B
LMArena Text: non-English11971346Qwen3 Coder 480B A35B
LMArena Text: Chinese12121357Qwen3 Coder 480B A35B
LMArena Text: German12221325Qwen3 Coder 480B A35B
LMArena Text: Japanese11581311Qwen3 Coder 480B A35B
LMArena Text: Korean11511305Qwen3 Coder 480B A35B
LMArena Text: French12241398Qwen3 Coder 480B A35B
LMArena Text: Spanish12341360Qwen3 Coder 480B A35B
LMArena Text: Russian12091366Qwen3 Coder 480B A35B
LMArena Text: PolishNot measured1344Only Qwen3 Coder 480B A35B measured
LMArena Text: multi-turn12061366Qwen3 Coder 480B A35B
LMArena Text: longer queries12171378Qwen3 Coder 480B A35B
LMArena Text: writing and language11981340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media11621317Qwen3 Coder 480B A35B
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Phi 4 and Qwen3 Coder 480B A35B
BenchmarkPhi 4Qwen3 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

Phi 4$0.0001Fits in one request
Qwen3 Coder 480B A35B$0.0010Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Phi 4$0.0039Exceeds the context window
Qwen3 Coder 480B A35B$0.019Fits in one request

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Phi 4$0.015Exceeds the context window
Qwen3 Coder 480B A35B$0.075Fits in one request

Phi 4 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 Phi 4 and Qwen3 Coder 480B A35B
SpecificationMicrosoft Phi 4Qwen3 Coder 480B A35B
MakerMicrosoftQwen
WeightsOpen weightsOpen weights
ReleasedJanuary 10, 2025July 23, 2025
Context window16K262K
Input $/Mtok$0.07$0.30
Output $/Mtok$0.14$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Phi 4 better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Phi 4 for output tokens 10.7x cheaper ($0.14 vs $1.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Phi 4 or Qwen3 Coder 480B A35B?

Phi 4 costs $0.07 per million input tokens and $0.14 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, Phi 4 or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 16K.

How many benchmarks is the Phi 4 vs Qwen3 Coder 480B A35B comparison based on?

38 benchmarks have a result for both models as of October 21, 2026. Phi 4'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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