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GLM 4.7 Flash vs gpt-oss-120b

GLM 4.7 Flash leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 14.9 to 11.6, and GLM 4.7 Flash costs 1.3x less per output token ($0.40 vs $0.50 per million). Updated October 21, 2026; 42 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace gpt-oss-120b
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
21
gpt-oss-120bOpenAI
Coding
No data
Overall
50.0
Output $/M
$0.50
21
vs boards won of 42 shared

GLM 4.7 Flash or gpt-oss-120b: which to pick

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

Pick GLM 4.7 Flash for output tokens 1.3x cheaper ($0.40 vs $0.50 per million) and a larger context window (200K against 131K tokens).

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task
Shared results
42
GLM 4.7 Flash only
1
gpt-oss-120b only
39
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 4.7 Flash not benchmarked, gpt-oss-120b not benchmarked.
Widest category
Agentic work, 33.0 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: UI components: GLM 4.7 Flash 1208 against gpt-oss-120b 927, 35.1 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against gpt-oss-120b $0.50 per million output tokens, 1.3x apart.
Context window
GLM 4.7 Flash takes 200K 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 4.7 FlashBarsgpt-oss-120bTies
Coding21
Intelligence10
Agentic work10
Reasoning24
Math03
Knowledge13
Web design60
General810
All shared boards2121
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for GLM 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-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)Not measured87.8%Only gpt-oss-120b measured
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
WeirdMLNot measured48.2%Only gpt-oss-120b measured
ALE-BenchNot measured575.6Only gpt-oss-120b measured
LMArena Text: coding13821379GLM 4.7 Flash
LMArena Text: software and IT13891387GLM 4.7 Flash
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 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-oss-120bLeader
AA Intelligence Index14.911.6GLM 4.7 Flash
Epoch Capabilities IndexNot measured139.8Only gpt-oss-120b measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
τ²-Bench Telecom98.8%65.8%GLM 4.7 Flash
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 index24
Reasoning benchmarks for GLM 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-oss-120bLeader
GPQA DiamondNot measured78.5%Only gpt-oss-120b measured
GPQA Diamond (Artificial Analysis run)58.1%78.2%gpt-oss-120b
Humanity's Last Exam (Artificial Analysis run)7.6%19.6%gpt-oss-120b
GPQA Diamond (Epoch AI run)60.5%75.8%gpt-oss-120b
SimpleBenchNot measured22.1%Only gpt-oss-120b measured
Mystery game puzzlesNot measured2.0%Only gpt-oss-120b measured
LMArena Text: hard prompts13561364gpt-oss-120b
LMArena Text: expert13571356GLM 4.7 Flash
LMArena Text: hard prompts in English13691368GLM 4.7 Flash
Kagi LLM BenchmarkNot measured58.6%Only gpt-oss-120b measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-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 IndexNot measured93.4Only gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)Not measured93.4%Only gpt-oss-120b measured
OTIS Mock AIME58.3%88.9%gpt-oss-120b
LMArena Text: math13551389gpt-oss-120b
LMArena Text: mathematical work13691386gpt-oss-120b
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for GLM 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-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)Not measured80.8%Only gpt-oss-120b measured
LMArena Text: science13581382gpt-oss-120b
LMArena Text: medicine and healthcare13431388gpt-oss-120b
LMArena Text: legal and government13571355GLM 4.7 Flash
LMArena Text: business and finance13431359gpt-oss-120b
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 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-oss-120bLeader
Design Arena: websites1194968GLM 4.7 Flash
Design Arena: UI components1208927GLM 4.7 Flash
Design Arena: game dev1135992GLM 4.7 Flash
Design Arena: data viz1123987GLM 4.7 Flash
Design Arena: 3D1121901GLM 4.7 Flash
Design Arena: all code categories1178963GLM 4.7 Flash
Design Arena: SVG1038Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index810
General benchmarks for GLM 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-oss-120bLeader
IFBench60.8%69.0%gpt-oss-120b
Long context reasoning (AA-LCR)41.7%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 Text13511366gpt-oss-120b
LMArena Text: instruction following13271318GLM 4.7 Flash
LMArena Text: creative writing12961274GLM 4.7 Flash
LMArena Text: English13731375gpt-oss-120b
LMArena Text: non-English13301351gpt-oss-120b
LMArena Text: Chinese14031385GLM 4.7 Flash
LMArena Text: German13361353gpt-oss-120b
LMArena Text: JapaneseNot measured1331Only gpt-oss-120b measured
LMArena Text: Korean12831282GLM 4.7 Flash
LMArena Text: French13321370gpt-oss-120b
LMArena Text: Spanish13501389gpt-oss-120b
LMArena Text: Russian13331343gpt-oss-120b
LMArena Text: Polish12911353gpt-oss-120b
LMArena Text: multi-turn13421340GLM 4.7 Flash
LMArena Text: longer queries13451319GLM 4.7 Flash
LMArena Text: writing and language13201306GLM 4.7 Flash
LMArena Text: entertainment and media13041292GLM 4.7 Flash
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 4.7 Flash and gpt-oss-120b
BenchmarkGLM 4.7 Flashgpt-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 4.7 Flash$0.0003Fits in one request
gpt-oss-120b$0.0003Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

GLM 4.7 Flash$0.0045Fits in one request
gpt-oss-120b$0.0065Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 4.7 Flash$0.017Exceeds the context window
gpt-oss-120b$0.025Exceeds the context window

GLM 4.7 Flash 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 4.7 Flash and gpt-oss-120b
SpecificationZ.ai GLM 4.7 FlashOpenAI gpt-oss-120b
MakerZ.aiOpenAI
WeightsOpen weightsOpen weights
ReleasedJanuary 19, 2026August 5, 2025
Context window200K131K
Input $/Mtok$0.0653$0.10
Output $/Mtok$0.40$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than gpt-oss-120b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.7 Flash for output tokens 1.3x cheaper ($0.40 vs $0.50 per million) and a larger context window (200K against 131K tokens).

Which is cheaper, GLM 4.7 Flash or gpt-oss-120b?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 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 4.7 Flash or gpt-oss-120b?

GLM 4.7 Flash, with 200K tokens against 131K.

How many benchmarks is the GLM 4.7 Flash vs gpt-oss-120b comparison based on?

42 benchmarks have a result for both models as of October 21, 2026. GLM 4.7 Flash'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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