Enter opens the highlighted result. Esc closes.

GLM 5.1 vs gpt-oss-120b

GLM 5.1 leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 26.1 to 11.6, and gpt-oss-120b costs 8.8x less per output token ($0.50 vs $4.40 per million). Updated October 22, 2026; 61 benchmarks have a result for both.

Replace GLM 5.1 Replace gpt-oss-120b
GLM 5.1Z.ai
Coding
49.2
Overall
57.5
Output $/M
$4.40
58
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
3
vs boards won of 61 shared

GLM 5.1 or gpt-oss-120b: which to pick

Only GLM 5.1 has a coding score, 49.2 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.

Pick gpt-oss-120b for output tokens 8.8x cheaper ($0.50 vs $4.40 per million) and a lower cost per solved task ($0.51 against $0.60).

Model AGLM 5.1Z.ai49.2/1003 independent benchmarks$0.60 per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
61
GLM 5.1 only
28
gpt-oss-120b only
20
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 5.1 49.2 from 3 benchmarks, gpt-oss-120b not benchmarked.
Widest category
Web design, 43.4 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: GLM 5.1 1336 against gpt-oss-120b 901, 54.4 points apart on a 0 to 100 scale.
Output price
GLM 5.1 $4.40 against gpt-oss-120b $0.50 per million output tokens, 8.8x apart.
Context window
GLM 5.1 takes 205K tokens, gpt-oss-120b 131K.

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 5.1Barsgpt-oss-120bTies
Coding81
Intelligence20
Agentic work40
Reasoning80
Math31
Knowledge81
Web design60
General190
All shared boards583
CodingLike-for-likeSix of these boards feed the Vibe Coding Index81
Coding benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
LMArena WebDev1508Not measuredOnly GLM 5.1 measured
AA Coding Index55.830.4GLM 5.1
LiveCodeBench (Vals AI)81.4%83.2%gpt-oss-120b
SWE-bench Verified (Vals AI)76.4%33.6%GLM 5.1
Vibe Code Bench (Vals AI)31.5%Not measuredOnly GLM 5.1 measured
Code migration (Vals AI)25.8%Not measuredOnly GLM 5.1 measured
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.1 measured
Terminal-Bench 2.1 (Vals AI)56.9%Not measuredOnly GLM 5.1 measured
LiveCodeBench (Artificial Analysis run)Not measured87.8%Only gpt-oss-120b measured
SciCode44.8%34.0%GLM 5.1
Terminal-Bench Hard (Artificial Analysis run)43.2%23.5%GLM 5.1
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML57.1%48.2%GLM 5.1
ALE-Bench887.1575.6GLM 5.1
LMArena Text: coding14851379GLM 5.1
LMArena Text: software and IT14841387GLM 5.1
LMArena WebDev: React1505Not measuredOnly GLM 5.1 measured
LMArena WebDev: HTML1508Not measuredOnly GLM 5.1 measured
SciCodeNot measured7.7%Only gpt-oss-120b measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-oss-120bLeader
AA Intelligence Index26.111.6GLM 5.1
Epoch Capabilities Index149.8139.8GLM 5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-oss-120bLeader
AA Agentic Index23.93.7GLM 5.1
Design Arena: agents building web apps1175Not measuredOnly GLM 5.1 measured
Design Arena: agents building full-stack apps1167Not measuredOnly GLM 5.1 measured
Design Arena: agents building mobile apps1162Not measuredOnly GLM 5.1 measured
Design Arena: agents building Android apps1182Not measuredOnly GLM 5.1 measured
Design Arena: agents building Godot games1053Not measuredOnly GLM 5.1 measured
Design Arena: agents building games1164Not measuredOnly GLM 5.1 measured
Design Arena: HTML slides1120Not measuredOnly GLM 5.1 measured
Design Arena: PowerPoint slides1163Not measuredOnly GLM 5.1 measured
Design Arena: spreadsheets1315Not measuredOnly GLM 5.1 measured
Finance Agent (Vals AI)44.8%Not measuredOnly GLM 5.1 measured
Legal Research Bench (Vals AI)27.9%Not measuredOnly GLM 5.1 measured
τ²-Bench Telecom97.7%65.8%GLM 5.1
APEX-Agents40.9%4.4%GLM 5.1
METR time horizonsNot measured56.6%Only gpt-oss-120b measured
Vending-Bench 2$5,634-$22GLM 5.1
BrowseComp-PlusNot measured67.0%Only gpt-oss-120b measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-oss-120bLeader
GPQA Diamond84.5%78.5%GLM 5.1
GPQA Diamond (Artificial Analysis run)86.8%78.2%GLM 5.1
Humanity's Last Exam (Artificial Analysis run)30.1%19.6%GLM 5.1
GPQA Diamond (Epoch AI run)89.9%75.8%GLM 5.1
SimpleBench55.1%22.1%GLM 5.1
Chess puzzles20.0%Not measuredOnly GLM 5.1 measured
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
LMArena Text: hard prompts14731364GLM 5.1
LMArena Text: expert14781356GLM 5.1
LMArena Text: hard prompts in English14821368GLM 5.1
Kagi LLM BenchmarkNot measured58.6%Only gpt-oss-120b measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index31
Math benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-oss-120bLeader
AIME91.9%92.6%gpt-oss-120b
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 IndexNot measured93.4Only gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)Not measured93.4%Only gpt-oss-120b measured
OTIS Mock AIME93.3%88.9%GLM 5.1
FrontierMath, tiers 1 to 336.8%Not measuredOnly GLM 5.1 measured
ProofBench22.2%Not measuredOnly GLM 5.1 measured
LMArena Text: math14731389GLM 5.1
LMArena Text: mathematical work14701386GLM 5.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-oss-120bLeader
MMLU Pro86.9%79.2%GLM 5.1
LegalBench (Vals AI)84.4%75.9%GLM 5.1
CaseLaw (Vals AI)51.5%48.8%GLM 5.1
CorpFin (Vals AI)64.5%58.2%GLM 5.1
TaxEval (Vals AI)71.2%71.6%gpt-oss-120b
MedQA (Vals AI)Not measured91.4%Only gpt-oss-120b measured
MedCode (Vals AI)41.6%Not measuredOnly GLM 5.1 measured
MMLU Pro (Artificial Analysis run)Not measured80.8%Only gpt-oss-120b measured
SimpleQA Verified34.0%Not measuredOnly GLM 5.1 measured
LMArena Text: science14781382GLM 5.1
LMArena Text: medicine and healthcare14741388GLM 5.1
LMArena Text: legal and government14651355GLM 5.1
LMArena Text: business and finance14521359GLM 5.1
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-oss-120bLeader
Design Arena: websites1290967GLM 5.1
Design Arena: UI components1292924GLM 5.1
Design Arena: game dev1265992GLM 5.1
Design Arena: data viz1366987GLM 5.1
Design Arena: 3D1336901GLM 5.1
Design Arena: all code categories1268962GLM 5.1
Design Arena: SVG1218Not measuredOnly GLM 5.1 measured
Design Arena: ASCII art1141Not measuredOnly GLM 5.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-oss-120bLeader
Public Benefits Bench (Vals AI)61.8%Not measuredOnly GLM 5.1 measured
MedScribe (Vals AI)72.3%Not measuredOnly GLM 5.1 measured
IFBench76.3%69.0%GLM 5.1
Long context reasoning (AA-LCR)73.7%52.0%GLM 5.1
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
ExploitBench18.1%Not measuredOnly GLM 5.1 measured
LMArena Text14631366GLM 5.1
LMArena Text: instruction following14531318GLM 5.1
LMArena Text: creative writing14531274GLM 5.1
LMArena Text: English14761375GLM 5.1
LMArena Text: non-English14481351GLM 5.1
LMArena Text: Chinese15151385GLM 5.1
LMArena Text: German14671353GLM 5.1
LMArena Text: Japanese14351331GLM 5.1
LMArena Text: Korean14241282GLM 5.1
LMArena Text: French14701370GLM 5.1
LMArena Text: Spanish14681389GLM 5.1
LMArena Text: Russian14541343GLM 5.1
LMArena Text: Polish14491353GLM 5.1
LMArena Text: multi-turn14731340GLM 5.1
LMArena Text: longer queries14671319GLM 5.1
LMArena Text: writing and language14541306GLM 5.1
LMArena Text: entertainment and media14421292GLM 5.1
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.1 and gpt-oss-120b
BenchmarkGLM 5.1gpt-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 5.1$0.0036Fits in one request
gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

GLM 5.1$0.083Fits in one request
gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

GLM 5.1$0.324Exceeds 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 5.1 and gpt-oss-120b
SpecificationZ.ai GLM 5.1OpenAI gpt-oss-120b
MakerZ.aiOpenAI
WeightsOpen weightsOpen weights
ReleasedApril 7, 2026August 5, 2025
Context window205K131K
Input $/Mtok$1.40$0.10
Output $/Mtok$4.40$0.50
Coding index49.2Not benchmarked
Independent measurements behind it31
Cost per solved task$0.60$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.1 better than gpt-oss-120b for coding?

Only GLM 5.1 has a coding score, 49.2 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 8.8x cheaper ($0.50 vs $4.40 per million) and a lower cost per solved task ($0.51 against $0.60).

Which is cheaper, GLM 5.1 or gpt-oss-120b?

GLM 5.1 costs $1.40 per million input tokens and $4.40 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Per solved SWE-bench Verified task, GLM 5.1 costs $0.60 and gpt-oss-120b $0.51.

Which has the bigger context window, GLM 5.1 or gpt-oss-120b?

GLM 5.1, with 205K tokens against 131K.

How many benchmarks is the GLM 5.1 vs gpt-oss-120b comparison based on?

61 benchmarks have a result for both models as of October 22, 2026. GLM 5.1's coding index rests on 3 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.

Compare next