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GLM 4.5 vs gpt-oss-120b

GLM 4.5 leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 12.8 to 11.6, and gpt-oss-120b costs 4.4x less per output token ($0.50 vs $2.20 per million). Updated October 22, 2026; 60 benchmarks have a result for both.

Replace GLM 4.5 Replace gpt-oss-120b
GLM 4.5Z.ai
Coding
No data
Overall
No data
Output $/M
$2.20
41
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
18
vs boards won of 60 shared, 1 tied

GLM 4.5 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 for work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Model AGLM 4.5Z.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
60
GLM 4.5 only
1
gpt-oss-120b only
21
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 not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Web design, 25.3 points apart on average over 6 shared benchmarks.
Widest single gap
SWE-bench Verified: GLM 4.5 64.2% against gpt-oss-120b 26.0%, 38.2 points apart on a 0 to 100 scale.
Output price
GLM 4.5 $2.20 against gpt-oss-120b $0.50 per million output tokens, 4.4x 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 4.5Barsgpt-oss-120bTies
Coding35
Intelligence10
Agentic work01
Reasoning331 tie
Math25
Knowledge82
Web design60
General182
All shared boards41181 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index35
Coding benchmarks for GLM 4.5 and gpt-oss-120b
BenchmarkGLM 4.5gpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench Verified64.2%26.0%GLM 4.5
AA Coding IndexNot measured30.4Only gpt-oss-120b measured
LiveCodeBench (Vals AI)67.5%83.2%gpt-oss-120b
SWE-bench Verified (Vals AI)Not measured33.6%Only gpt-oss-120b measured
LiveCodeBench (Artificial Analysis run)73.8%87.8%gpt-oss-120b
SciCodeNot measured34.0%Only gpt-oss-120b measured
Terminal-Bench Hard (Artificial Analysis run)22.0%23.5%gpt-oss-120b
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML40.6%48.2%gpt-oss-120b
ALE-Bench344.8575.6gpt-oss-120b
LMArena Text: coding14341379GLM 4.5
LMArena Text: software and IT14401387GLM 4.5
SciCodeNot measured7.7%Only gpt-oss-120b measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.5 and gpt-oss-120b
BenchmarkGLM 4.5gpt-oss-120bLeader
AA Intelligence Index12.811.6GLM 4.5
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 and gpt-oss-120b
BenchmarkGLM 4.5gpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench Telecom43.0%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 and gpt-oss-120b
BenchmarkGLM 4.5gpt-oss-120bLeader
GPQA Diamond72.2%78.5%gpt-oss-120b
GPQA Diamond (Artificial Analysis run)78.2%78.2%Tie
Humanity's Last Exam (Artificial Analysis run)13.0%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 prompts14291364GLM 4.5
LMArena Text: expert14331356GLM 4.5
LMArena Text: hard prompts in English14291368GLM 4.5
Kagi LLM Benchmark57.9%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 index25
Math benchmarks for GLM 4.5 and gpt-oss-120b
BenchmarkGLM 4.5gpt-oss-120bLeader
AIME86.7%92.6%gpt-oss-120b
MATH 500 (Vals AI)94.0%94.8%gpt-oss-120b
MGSM (Vals AI)90.8%92.0%gpt-oss-120b
AA Math Index73.793.4gpt-oss-120b
AIME 2025 (Artificial Analysis run)73.7%93.4%gpt-oss-120b
OTIS Mock AIMENot measured88.9%Only gpt-oss-120b measured
LMArena Text: math14271389GLM 4.5
LMArena Text: mathematical work14301386GLM 4.5
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index82
Knowledge benchmarks for GLM 4.5 and gpt-oss-120b
BenchmarkGLM 4.5gpt-oss-120bLeader
MMLU Pro81.2%79.2%GLM 4.5
LegalBench (Vals AI)75.6%75.9%gpt-oss-120b
CaseLaw (Vals AI)Not measured48.8%Only gpt-oss-120b measured
CorpFin (Vals AI)61.0%58.2%GLM 4.5
TaxEval (Vals AI)72.4%71.6%GLM 4.5
MedQA (Vals AI)90.0%91.4%gpt-oss-120b
MMLU Pro (Artificial Analysis run)83.5%80.8%GLM 4.5
LMArena Text: science14441382GLM 4.5
LMArena Text: medicine and healthcare14551388GLM 4.5
LMArena Text: legal and government14381355GLM 4.5
LMArena Text: business and finance14201359GLM 4.5
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 and gpt-oss-120b
BenchmarkGLM 4.5gpt-oss-120bLeader
Design Arena: websites1169967GLM 4.5
Design Arena: UI components1141924GLM 4.5
Design Arena: game dev1144992GLM 4.5
Design Arena: data viz1159987GLM 4.5
Design Arena: 3D1170901GLM 4.5
Design Arena: all code categories1165962GLM 4.5
Design Arena: SVG1096Not measuredOnly GLM 4.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for GLM 4.5 and gpt-oss-120b
BenchmarkGLM 4.5gpt-oss-120bLeader
IFBench44.1%69.0%gpt-oss-120b
Long context reasoning (AA-LCR)52.7%52.0%GLM 4.5
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)73.4%77.1%gpt-oss-120b
Surface Evolver BenchNot measured25.0%Only gpt-oss-120b measured
LMArena Text14301366GLM 4.5
LMArena Text: instruction following14041318GLM 4.5
LMArena Text: creative writing13951274GLM 4.5
LMArena Text: English14371375GLM 4.5
LMArena Text: non-English14171351GLM 4.5
LMArena Text: Chinese14651385GLM 4.5
LMArena Text: German14071353GLM 4.5
LMArena Text: Japanese14151331GLM 4.5
LMArena Text: Korean13801282GLM 4.5
LMArena Text: French14181370GLM 4.5
LMArena Text: Spanish14541389GLM 4.5
LMArena Text: Russian14131343GLM 4.5
LMArena Text: Polish14221353GLM 4.5
LMArena Text: multi-turn14151340GLM 4.5
LMArena Text: longer queries14121319GLM 4.5
LMArena Text: writing and language14031306GLM 4.5
LMArena Text: entertainment and media14041292GLM 4.5
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 and gpt-oss-120b
BenchmarkGLM 4.5gpt-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$0.0017Fits 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$0.037Fits 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$0.142Exceeds 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 and gpt-oss-120b
SpecificationZ.ai GLM 4.5OpenAI gpt-oss-120b
MakerZ.aiOpenAI
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025August 5, 2025
Context window131K131K
Input $/Mtok$0.60$0.10
Output $/Mtok$2.20$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 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 for work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

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

GLM 4.5 costs $0.60 per million input tokens and $2.20 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 or gpt-oss-120b?

Neither: both take 131K tokens.

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

60 benchmarks have a result for both models as of October 22, 2026. GLM 4.5'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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