Enter opens the highlighted result. Esc closes.

GPT-5.4 vs Qwen3.5-122B-A10B

GPT-5.4 leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 39.0 to 17.7, and Qwen3.5-122B-A10B costs 7.2x less per output token ($2.08 vs $15.00 per million). Updated October 22, 2026; 50 benchmarks have a result for both.

GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
48
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
2
vs boards won of 50 shared

GPT-5.4 or Qwen3.5-122B-A10B: which to pick

Only GPT-5.4 has a coding score, 64.4 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-122B-A10B for output tokens 7.2x cheaper ($2.08 vs $15.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Shared results
50
GPT-5.4 only
60
Qwen3.5-122B-A10B only
1
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
GPT-5.4 64.4 from 3 benchmarks, Qwen3.5-122B-A10B not benchmarked.
Widest category
Intelligence, 21.3 points apart on average over 1 shared benchmark.
Widest single gap
AA Coding Index: GPT-5.4 71.1 against Qwen3.5-122B-A10B 43.3, 27.8 points apart on a 0 to 100 scale.
Output price
GPT-5.4 $15.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 7.2x apart.
Context window
GPT-5.4 takes 1.05M tokens, Qwen3.5-122B-A10B 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
CategoryGPT-5.4BarsQwen3.5-122B-A10BTies
Coding70
Intelligence10
Agentic work01
Reasoning80
Math20
Knowledge40
General261
All shared boards482
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
LMArena WebDev14641361GPT-5.4
AA Coding Index71.143.3GPT-5.4
LiveCodeBench (Vals AI)84.1%Not measuredOnly GPT-5.4 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly GPT-5.4 measured
Vibe Code Bench (Vals AI)67.4%Not measuredOnly GPT-5.4 measured
Code migration (Vals AI)35.0%Not measuredOnly GPT-5.4 measured
ProgramBench (Vals AI)0.5%Not measuredOnly GPT-5.4 measured
SkillsBench (Vals AI)51.7%Not measuredOnly GPT-5.4 measured
SciCodeNot measured39.7%Only Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)57.6%31.1%GPT-5.4
Terminal-Bench81.8%Not measuredOnly GPT-5.4 measured
GSO-Bench31.4%Not measuredOnly GPT-5.4 measured
WeirdML77.7%Not measuredOnly GPT-5.4 measured
MirrorCode15.6%Not measuredOnly GPT-5.4 measured
ALE-Bench1607.0Not measuredOnly GPT-5.4 measured
LMArena Text: coding14961436GPT-5.4
LMArena Text: software and IT14911436GPT-5.4
LMArena WebDev: React14541353GPT-5.4
LMArena WebDev: HTML14781351GPT-5.4
LMArena WebDev: from an image1436Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
AA Intelligence Index39.017.7GPT-5.4
Epoch Capabilities Index157.3Not measuredOnly GPT-5.4 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
Design Arena: agents building web apps1059Not measuredOnly GPT-5.4 measured
Design Arena: agents building full-stack apps1017Not measuredOnly GPT-5.4 measured
Design Arena: agents building mobile apps1087Not measuredOnly GPT-5.4 measured
Design Arena: agents building Android apps1031Not measuredOnly GPT-5.4 measured
Design Arena: agents building Godot games1135Not measuredOnly GPT-5.4 measured
τ²-Bench Telecom87.1%93.6%Qwen3.5-122B-A10B
APEX-Agents52.4%Not measuredOnly GPT-5.4 measured
METR time horizons74.3%Not measuredOnly GPT-5.4 measured
DeepResearch Bench35.1%Not measuredOnly GPT-5.4 measured
PostTrainBench19.0%Not measuredOnly GPT-5.4 measured
Vending-Bench 2$6,144Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
GPQA Diamond91.7%Not measuredOnly GPT-5.4 measured
MMMU Pro (Vals AI)87.5%Not measuredOnly GPT-5.4 measured
GPQA Diamond (Artificial Analysis run)92.0%85.7%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)43.7%25.2%GPT-5.4
GPQA Diamond (Epoch AI run)93.3%Not measuredOnly GPT-5.4 measured
ARC-AGI93.7%Not measuredOnly GPT-5.4 measured
ARC-AGI-274.0%Not measuredOnly GPT-5.4 measured
Chess puzzles48.0%Not measuredOnly GPT-5.4 measured
Mystery game puzzles37.0%17.0%GPT-5.4
EBR-bench25.4%Not measuredOnly GPT-5.4 measured
LMArena Text: hard prompts14851421GPT-5.4
LMArena Text: expert15071431GPT-5.4
LMArena Text: hard prompts in English14791431GPT-5.4
LMArena Vision: diagrams13271249GPT-5.4
LMArena Vision: homework13361261GPT-5.4
Kagi LLM Benchmark63.8%Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
AIME96.7%Not measuredOnly GPT-5.4 measured
OTIS Mock AIME97.8%Not measuredOnly GPT-5.4 measured
FrontierMath, tiers 1 to 378.6%Not measuredOnly GPT-5.4 measured
FrontierMath, tier 449.0%Not measuredOnly GPT-5.4 measured
ProofBench56.0%Not measuredOnly GPT-5.4 measured
LMArena Text: math14881431GPT-5.4
LMArena Text: mathematical work14971431GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
MMLU Pro87.5%Not measuredOnly GPT-5.4 measured
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5.4 measured
CaseLaw (Vals AI)63.8%Not measuredOnly GPT-5.4 measured
CorpFin (Vals AI)65.3%Not measuredOnly GPT-5.4 measured
TaxEval (Vals AI)74.0%Not measuredOnly GPT-5.4 measured
MortgageTax (Vals AI)68.3%Not measuredOnly GPT-5.4 measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5.4 measured
MedCode (Vals AI)41.3%Not measuredOnly GPT-5.4 measured
SimpleQA Verified45.1%Not measuredOnly GPT-5.4 measured
LMArena Text: science14791432GPT-5.4
LMArena Text: medicine and healthcare14581423GPT-5.4
LMArena Text: legal and government14861422GPT-5.4
LMArena Text: business and finance14741414GPT-5.4
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
Design Arena: websites1198Not measuredOnly GPT-5.4 measured
Design Arena: UI components1212Not measuredOnly GPT-5.4 measured
Design Arena: game dev1194Not measuredOnly GPT-5.4 measured
Design Arena: data viz1196Not measuredOnly GPT-5.4 measured
Design Arena: 3D1065Not measuredOnly GPT-5.4 measured
Design Arena: all code categories1179Not measuredOnly GPT-5.4 measured
Design Arena: SVG1141Not measuredOnly GPT-5.4 measured
Design Arena: ASCII art1188Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index261
General benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
SAGE (Vals AI)43.3%Not measuredOnly GPT-5.4 measured
MedScribe (Vals AI)77.5%Not measuredOnly GPT-5.4 measured
IFBench73.9%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)82.0%76.3%GPT-5.4
DTBench94.4%84.3%GPT-5.4
LMCA52.0%32.2%GPT-5.4
CL-bench27.9%Not measuredOnly GPT-5.4 measured
Furniture assembly37.5%Not measuredOnly GPT-5.4 measured
CL-bench Life21.7%Not measuredOnly GPT-5.4 measured
LMArena Text14691417GPT-5.4
LMArena Text: instruction following14691399GPT-5.4
LMArena Text: creative writing14391368GPT-5.4
LMArena Vision13031244GPT-5.4
LMArena Text: English14671428GPT-5.4
LMArena Text: non-English14651401GPT-5.4
LMArena Text: Chinese15201463GPT-5.4
LMArena Text: German14721425GPT-5.4
LMArena Text: Japanese14851367GPT-5.4
LMArena Text: Korean14491353GPT-5.4
LMArena Text: French14931443GPT-5.4
LMArena Text: Spanish14521425GPT-5.4
LMArena Text: Russian14801400GPT-5.4
LMArena Text: Polish14721398GPT-5.4
LMArena Text: multi-turn14821416GPT-5.4
LMArena Text: longer queries14731410GPT-5.4
LMArena Text: writing and language14581387GPT-5.4
LMArena Text: entertainment and media14381366GPT-5.4
LMArena Vision: English13011249GPT-5.4
LMArena Vision: Chinese13541301GPT-5.4
LMArena Vision: reading text13121251GPT-5.4
LMArena Vision: humor12841243GPT-5.4
LMArena Vision: recognizing things1251Not measuredOnly GPT-5.4 measured
LMArena Vision: creative writing12831220GPT-5.4
LMArena Document1471Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 and Qwen3.5-122B-A10B
BenchmarkGPT-5.4Qwen3.5-122B-A10BLeader
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

GPT-5.4$0.010Fits in one request
Qwen3.5-122B-A10B$0.0013Fits in one request

Qwen3.5-122B-A10B costs less

Repository review

50K input + 3K output tokens

GPT-5.4$0.170Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Qwen3.5-122B-A10B costs less

Agent loop

200K input + 10K output tokens

GPT-5.4$0.650Fits in one request
Qwen3.5-122B-A10B$0.073Fits in one request

Qwen3.5-122B-A10B 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 GPT-5.4 and Qwen3.5-122B-A10B
SpecificationOpenAI GPT-5.4Qwen3.5-122B-A10B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 5, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$2.50$0.26
Output $/Mtok$15.00$2.08
Coding index64.4Not benchmarked
Independent measurements behind it31
Cost per solved task$1.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 better than Qwen3.5-122B-A10B for coding?

Only GPT-5.4 has a coding score, 64.4 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for output tokens 7.2x cheaper ($2.08 vs $15.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, GPT-5.4 or Qwen3.5-122B-A10B?

GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for GPT-5.4 only.

Which has the bigger context window, GPT-5.4 or Qwen3.5-122B-A10B?

GPT-5.4, with 1.05M tokens against 262K.

How many benchmarks is the GPT-5.4 vs Qwen3.5-122B-A10B comparison based on?

50 benchmarks have a result for both models as of October 22, 2026. GPT-5.4's coding index rests on 3 independent benchmarks and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next