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GLM 4.5 Air vs gpt-oss-120b

gpt-oss-120b leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 11.6 to 11.1, and gpt-oss-120b costs 2.2x less per output token ($0.50 vs $1.10 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
34
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
12
vs boards won of 46 shared

GLM 4.5 Air or gpt-oss-120b: which to pick

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

Pick GLM 4.5 Air for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
46
GLM 4.5 Air only
2
gpt-oss-120b only
35
Like-for-like categories
8 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
GLM 4.5 Air not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Web design, 22.3 points apart on average over 6 shared benchmarks.
Widest single gap
IFBench: GLM 4.5 Air 37.6% against gpt-oss-120b 69.0%, 31.4 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against gpt-oss-120b $0.50 per million output tokens, 2.2x apart.
Context window
Both take 131K tokens.

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
CategoryGLM 4.5 AirBarsgpt-oss-120bTies
Coding22
Intelligence01
Agentic work01
Reasoning33
Math22
Knowledge50
Web design60
General163
All shared boards3412
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
AA Coding IndexNot measured30.4Only gpt-oss-120b measured
LiveCodeBench (Vals AI)Not measured83.2%Only gpt-oss-120b measured
SWE-bench Verified (Vals AI)Not measured33.6%Only gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)68.4%87.8%gpt-oss-120b
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)20.5%23.5%gpt-oss-120b
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
GSO-Bench2.9%Not measuredOnly GLM 4.5 Air measured
WeirdMLNot measured48.2%Only gpt-oss-120b measured
ALE-BenchNot measured575.6Only gpt-oss-120b measured
LMArena Text: coding13971379GLM 4.5 Air
LMArena Text: software and IT14011387GLM 4.5 Air
SciCodeNot measured7.7%Only gpt-oss-120b measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
AA Intelligence Index11.111.6gpt-oss-120b
Epoch Capabilities IndexNot measured139.8Only gpt-oss-120b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench Telecom46.5%65.8%gpt-oss-120b
APEX-AgentsNot measured4.4%Only gpt-oss-120b measured
METR time horizonsNot measured56.6%Only gpt-oss-120b measured
Vending-Bench 2Not measured-$22Only gpt-oss-120b measured
BrowseComp-PlusNot measured67.0%Only gpt-oss-120b measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
GPQA DiamondNot measured78.5%Only gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)73.3%78.2%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)7.0%19.6%gpt-oss-120b
GPQA Diamond (Epoch AI run)Not measured75.8%Only gpt-oss-120b measured
SimpleBenchNot measured22.1%Only gpt-oss-120b measured
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
LMArena Text: hard prompts13791364GLM 4.5 Air
LMArena Text: expert13701356GLM 4.5 Air
LMArena Text: hard prompts in English13881368GLM 4.5 Air
Kagi LLM Benchmark43.0%58.6%gpt-oss-120b
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
AIMENot measured92.6%Only gpt-oss-120b measured
MATH 500 (Vals AI)Not measured94.8%Only gpt-oss-120b measured
MGSM (Vals AI)Not measured92.0%Only gpt-oss-120b measured
AA Math Index80.793.4gpt-oss-120b
AIME 2025 (Artificial Analysis run)80.7%93.4%gpt-oss-120b
OTIS Mock AIMENot measured88.9%Only gpt-oss-120b measured
LMArena Text: math13961389GLM 4.5 Air
LMArena Text: mathematical work13961386GLM 4.5 Air
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
MMLU ProNot measured79.2%Only gpt-oss-120b measured
LegalBench (Vals AI)Not measured75.9%Only gpt-oss-120b measured
CaseLaw (Vals AI)Not measured48.8%Only gpt-oss-120b measured
CorpFin (Vals AI)Not measured58.2%Only gpt-oss-120b measured
TaxEval (Vals AI)Not measured71.6%Only gpt-oss-120b measured
MedQA (Vals AI)Not measured91.4%Only gpt-oss-120b measured
MMLU Pro (Artificial Analysis run)81.5%80.8%GLM 4.5 Air
LMArena Text: science14071382GLM 4.5 Air
LMArena Text: medicine and healthcare14021388GLM 4.5 Air
LMArena Text: legal and government13821355GLM 4.5 Air
LMArena Text: business and finance13711359GLM 4.5 Air
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
Design Arena: websites1146968GLM 4.5 Air
Design Arena: UI components1120924GLM 4.5 Air
Design Arena: game dev1094992GLM 4.5 Air
Design Arena: data viz1187987GLM 4.5 Air
Design Arena: 3D1122900GLM 4.5 Air
Design Arena: all code categories1136962GLM 4.5 Air
Design Arena: SVG1070Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index163
General benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
IFBench37.6%69.0%gpt-oss-120b
Long context reasoning (AA-LCR)46.7%52.0%gpt-oss-120b
DTBenchNot measured76.3%Only gpt-oss-120b measured
LMCANot measured22.1%Only gpt-oss-120b measured
Fiction.LiveBenchNot measured44.4%Only gpt-oss-120b measured
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
LMArena Text13841366GLM 4.5 Air
LMArena Text: instruction following13541318GLM 4.5 Air
LMArena Text: creative writing13431274GLM 4.5 Air
LMArena Text: English13971375GLM 4.5 Air
LMArena Text: non-English13661351GLM 4.5 Air
LMArena Text: Chinese14261385GLM 4.5 Air
LMArena Text: German13771353GLM 4.5 Air
LMArena Text: Japanese13481331GLM 4.5 Air
LMArena Text: Korean13081282GLM 4.5 Air
LMArena Text: French14001370GLM 4.5 Air
LMArena Text: Spanish13851389gpt-oss-120b
LMArena Text: Russian13731343GLM 4.5 Air
LMArena Text: Polish13681353GLM 4.5 Air
LMArena Text: multi-turn13711340GLM 4.5 Air
LMArena Text: longer queries13661319GLM 4.5 Air
LMArena Text: writing and language13541306GLM 4.5 Air
LMArena Text: entertainment and media13391292GLM 4.5 Air
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 Air and gpt-oss-120b
BenchmarkGLM 4.5 Airgpt-oss-120bLeader
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

GLM 4.5 Air$0.0008Fits in one request
gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

GLM 4.5 Air$0.013Fits in one request
gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

GLM 4.5 Air$0.051Exceeds the context window
gpt-oss-120b$0.025Exceeds the context window

gpt-oss-120b 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 GLM 4.5 Air and gpt-oss-120b
SpecificationZ.ai GLM 4.5 AirOpenAI gpt-oss-120b
MakerZ.aiOpenAI
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025August 5, 2025
Context window131K131K
Input $/Mtok$0.20$0.10
Output $/Mtok$1.10$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than gpt-oss-120b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.5 Air for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, GLM 4.5 Air or gpt-oss-120b?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Cost per solved task is known for gpt-oss-120b only.

Which has the bigger context window, GLM 4.5 Air or gpt-oss-120b?

Neither: both take 131K tokens.

How many benchmarks is the GLM 4.5 Air vs gpt-oss-120b comparison based on?

46 benchmarks have a result for both models as of October 22, 2026. GLM 4.5 Air's coding index rests on 0 independent benchmarks and gpt-oss-120b's on 1. Where only one model has a result, the page says so instead of naming a winner.

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