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

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Mini Replace Qwen3.5-122B-A10B
GPT-5 MiniOpenAI
Coding
59.8
Overall
20.6
Output $/M
$2.00
3
Qwen3.5-122B-A10BQwen
Coding
22.9
Overall
17.7
Output $/M
$2.08
44
vs boards won of 47 shared

Decision reading

Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B.

Pick Qwen3.5-122B-A10B when what matters is SciCode or LMArena Text: coding, where it leads.

Model AGPT-5 MiniOpenAI59.8/1001 independent benchmark$0.08 per solved taskModel BQwen3.5-122B-A10BQwen22.9/1001 independent benchmarkNo cost per solved task
Shared results
47
GPT-5 Mini only
51
Qwen3.5-122B-A10B only
4
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Mini 59.8 from 1 benchmark, Qwen3.5-122B-A10B 22.9 from 1 benchmark.
Widest category
Agentic work, 22.5 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-5 Mini 71.1% against Qwen3.5-122B-A10B 93.6%, 22.5 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 1.0x apart.
Context window
GPT-5 Mini takes 400K 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 MiniBarsQwen3.5-122B-A10BTies
Coding13
Intelligence10
Agentic work01
Reasoning08
Math02
Knowledge04
General126
All shared boards344
CodingLike-for-likeFour of these boards feed the Vibe Coding Index13
Coding benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-A10BLeader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LMArena WebDevNot measured1361Only Qwen3.5-122B-A10B measured
AA Coding IndexNot measured43.3Only Qwen3.5-122B-A10B measured
LiveCodeBench (Vals AI)86.6%Not measuredOnly GPT-5 Mini measured
SWE-bench Verified (Vals AI)60.8%Not measuredOnly GPT-5 Mini measured
Vibe Code Bench (Vals AI)14.2%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)83.8%Not measuredOnly GPT-5 Mini measured
SciCode39.0%39.7%Qwen3.5-122B-A10B
Terminal-Bench Hard (Artificial Analysis run)33.3%31.1%GPT-5 Mini
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
WeirdML52.7%Not measuredOnly GPT-5 Mini measured
LMArena Text: coding14061436Qwen3.5-122B-A10B
LMArena Text: software and IT13941436Qwen3.5-122B-A10B
LMArena WebDev: ReactNot measured1353Only Qwen3.5-122B-A10B measured
LMArena WebDev: HTMLNot measured1351Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-A10BLeader
AA Intelligence Index20.617.7GPT-5 Mini
Epoch Capabilities Index145.3Not measuredOnly GPT-5 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-A10BLeader
τ²-Bench Telecom71.1%93.6%Qwen3.5-122B-A10B
Vending-Bench 2-$31Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-A10BLeader
GPQA Diamond80.3%Not measuredOnly GPT-5 Mini measured
MMMU Pro (Vals AI)78.9%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)82.8%85.7%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)21.5%25.2%Qwen3.5-122B-A10B
GPQA Diamond (Epoch AI run)75.0%Not measuredOnly GPT-5 Mini measured
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
Chess puzzles24.0%Not measuredOnly GPT-5 Mini measured
Mystery game puzzles10.0%17.0%Qwen3.5-122B-A10B
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801421Qwen3.5-122B-A10B
LMArena Text: expert13791431Qwen3.5-122B-A10B
LMArena Text: hard prompts in English13831431Qwen3.5-122B-A10B
LMArena Vision: diagrams12021249Qwen3.5-122B-A10B
LMArena Vision: homework12101261Qwen3.5-122B-A10B
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-A10BLeader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.7Not measuredOnly GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly GPT-5 Mini measured
OTIS Mock AIME86.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tiers 1 to 346.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5 Mini measured
ProofBench9.0%Not measuredOnly GPT-5 Mini measured
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781431Qwen3.5-122B-A10B
LMArena Text: mathematical work13801431Qwen3.5-122B-A10B
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-A10BLeader
MMLU Pro82.2%Not measuredOnly GPT-5 Mini measured
LegalBench (Vals AI)81.8%Not measuredOnly GPT-5 Mini measured
CaseLaw (Vals AI)68.5%Not measuredOnly GPT-5 Mini measured
CorpFin (Vals AI)60.2%Not measuredOnly GPT-5 Mini measured
TaxEval (Vals AI)75.2%Not measuredOnly GPT-5 Mini measured
MortgageTax (Vals AI)66.9%Not measuredOnly GPT-5 Mini measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)83.7%Not measuredOnly GPT-5 Mini measured
SimpleQA Verified21.6%Not measuredOnly GPT-5 Mini measured
LMArena Text: science13711432Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare13801423Qwen3.5-122B-A10B
LMArena Text: legal and government13751422Qwen3.5-122B-A10B
LMArena Text: business and finance13581414Qwen3.5-122B-A10B
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-A10BLeader
Design Arena: websites1125Not measuredOnly GPT-5 Mini measured
Design Arena: UI components1106Not measuredOnly GPT-5 Mini measured
Design Arena: game dev1130Not measuredOnly GPT-5 Mini measured
Design Arena: data viz1131Not measuredOnly GPT-5 Mini measured
Design Arena: 3D1037Not measuredOnly GPT-5 Mini measured
Design Arena: all code categories1115Not measuredOnly GPT-5 Mini measured
Design Arena: SVG1091Not measuredOnly GPT-5 Mini measured
Design Arena: ASCII art1124Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index126
General benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-A10BLeader
SAGE (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MedScribe (Vals AI)80.6%Not measuredOnly GPT-5 Mini measured
IFBench75.4%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)72.3%76.3%Qwen3.5-122B-A10B
DTBench80.5%84.3%Qwen3.5-122B-A10B
LMCA34.2%32.2%GPT-5 Mini
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
LMArena Text13731417Qwen3.5-122B-A10B
LMArena Text: instruction following13571399Qwen3.5-122B-A10B
LMArena Text: creative writing13251368Qwen3.5-122B-A10B
LMArena Vision12021244Qwen3.5-122B-A10B
LMArena Text: English13791428Qwen3.5-122B-A10B
LMArena Text: non-English13631401Qwen3.5-122B-A10B
LMArena Text: Chinese13861463Qwen3.5-122B-A10B
LMArena Text: German13661425Qwen3.5-122B-A10B
LMArena Text: Japanese13411367Qwen3.5-122B-A10B
LMArena Text: Korean13081353Qwen3.5-122B-A10B
LMArena Text: French13861443Qwen3.5-122B-A10B
LMArena Text: Spanish13541425Qwen3.5-122B-A10B
LMArena Text: Russian13621400Qwen3.5-122B-A10B
LMArena Text: Polish13781398Qwen3.5-122B-A10B
LMArena Text: multi-turn13631416Qwen3.5-122B-A10B
LMArena Text: longer queries13551410Qwen3.5-122B-A10B
LMArena Text: writing and language13441387Qwen3.5-122B-A10B
LMArena Text: entertainment and media13401366Qwen3.5-122B-A10B
LMArena Vision: English12161249Qwen3.5-122B-A10B
LMArena Vision: Chinese12141301Qwen3.5-122B-A10B
LMArena Vision: reading text11991251Qwen3.5-122B-A10B
LMArena Vision: humor12051243Qwen3.5-122B-A10B
LMArena Vision: captioning1217Not measuredOnly GPT-5 Mini measured
LMArena Vision: recognizing things1226Not measuredOnly GPT-5 Mini measured
LMArena Vision: creative writing11811220Qwen3.5-122B-A10B
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 Mini and Qwen3.5-122B-A10B
BenchmarkGPT-5 MiniQwen3.5-122B-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 Mini$0.0013Fits in one request
Qwen3.5-122B-A10B$0.0013Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5 Mini$0.018Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5 Mini$0.070Fits in one request
Qwen3.5-122B-A10B$0.073Fits in one request

GPT-5 Mini 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 Mini and Qwen3.5-122B-A10B
SpecificationOpenAI GPT-5 MiniQwen3.5-122B-A10B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025February 25, 2026
Context window400K262K
Input $/Mtok$0.25$0.26
Output $/Mtok$2.00$2.08
Coding index59.822.9
Independent measurements behind it11
Cost per solved task$0.08Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5 Mini for coding: it scores 59.8 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B. Pick Qwen3.5-122B-A10B when what matters is SciCode or LMArena Text: coding, where it leads.

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

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for GPT-5 Mini only.

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

GPT-5 Mini, with 400K tokens against 262K.

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

47 benchmarks have a result for both models as of October 21, 2026. GPT-5 Mini's coding index rests on 1 independent benchmark and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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