LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

Gemini 3.5 Flash vs gpt-oss-120b

Updated October 21, 2026. 61 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.5 Flash Replace gpt-oss-120b
Gemini 3.5 FlashGoogle
Coding
42.8
Overall
33.6
Output $/M
$9.00
61
gpt-oss-120bOpenAI
Coding
34.5
Overall
11.6
Output $/M
$0.60
0
vs boards won of 61 shared

Decision reading

Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 34.5 for gpt-oss-120b, though on 1 benchmark against 2.

Pick gpt-oss-120b when output tokens cost 15.0x less, or when a solved task costs $0.51 against $1.21.

Model AGemini 3.5 FlashGoogle42.8/1001 independent benchmark$1.21 per solved taskModel Bgpt-oss-120bOpenAI34.5/1002 independent benchmarks$0.51 per solved task
Shared results
61
Gemini 3.5 Flash only
49
gpt-oss-120b only
17
Like-for-like categories
8 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
Gemini 3.5 Flash 42.8 from 1 benchmark, gpt-oss-120b 34.5 from 2 benchmarks.
Widest category
Web design, 37.7 points apart on average over 6 shared benchmarks.
Widest single gap
SimpleBench: Gemini 3.5 Flash 76.7% against gpt-oss-120b 22.1%, 54.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against gpt-oss-120b $0.60 per million output tokens, 15.0x apart.
Context window
Gemini 3.5 Flash takes 1.05M 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
CategoryGemini 3.5 FlashBarsgpt-oss-120bTies
Coding80
Intelligence20
Agentic work30
Reasoning90
Math30
Knowledge80
Web design60
General220
All shared boards610
CodingLike-for-likeFour of these boards feed the Vibe Coding Index80
Coding benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 Flashgpt-oss-120bLeader
Aider polyglotNot measured41.8%Only gpt-oss-120b measured
SWE-bench VerifiedNot measured26.0%Only gpt-oss-120b measured
LMArena WebDev1499Not measuredOnly Gemini 3.5 Flash measured
AA Coding IndexNot measured30.4Only gpt-oss-120b measured
LiveCodeBench (Vals AI)87.6%83.2%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%33.6%Gemini 3.5 Flash
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%Not measuredOnly Gemini 3.5 Flash measured
Code migration (Vals AI)26.8%Not measuredOnly Gemini 3.5 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%Not measuredOnly Gemini 3.5 Flash measured
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
LiveCodeBench (Artificial Analysis run)Not measured87.8%Only gpt-oss-120b measured
SciCode53.9%34.0%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%23.5%Gemini 3.5 Flash
Terminal-BenchNot measured18.7%Only gpt-oss-120b measured
WeirdML62.6%48.2%Gemini 3.5 Flash
ALE-Bench911.0575.6Gemini 3.5 Flash
LMArena Text: coding14931379Gemini 3.5 Flash
LMArena Text: software and IT14941387Gemini 3.5 Flash
LMArena WebDev: React1495Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: HTML1522Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 Flashgpt-oss-120bLeader
AA Intelligence Index33.611.6Gemini 3.5 Flash
Epoch Capabilities Index154.9139.8Gemini 3.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 Flashgpt-oss-120bLeader
AA Agentic IndexNot measured3.7Only gpt-oss-120b measured
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1175Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1190Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1142Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1178Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)21.6%Not measuredOnly Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)30.8%Not measuredOnly Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)63.5%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%65.8%Gemini 3.5 Flash
APEX-Agents27.5%4.4%Gemini 3.5 Flash
METR time horizonsNot measured56.6%Only gpt-oss-120b measured
Vending-Bench 2$5,396-$22Gemini 3.5 Flash
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 Flashgpt-oss-120bLeader
GPQA Diamond92.7%78.5%Gemini 3.5 Flash
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%78.2%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%19.6%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%75.8%Gemini 3.5 Flash
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%22.1%Gemini 3.5 Flash
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%2.0%Gemini 3.5 Flash
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881364Gemini 3.5 Flash
LMArena Text: expert14951356Gemini 3.5 Flash
LMArena Text: hard prompts in English14831368Gemini 3.5 Flash
LMArena Vision: diagrams1323Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: homework1330Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 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 AIME95.6%88.9%Gemini 3.5 Flash
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math15041389Gemini 3.5 Flash
LMArena Text: mathematical work14951386Gemini 3.5 Flash
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 Flashgpt-oss-120bLeader
MMLU Pro89.5%79.2%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%75.9%Gemini 3.5 Flash
CaseLaw (Vals AI)Not measured48.8%Only gpt-oss-120b measured
CorpFin (Vals AI)64.7%58.2%Gemini 3.5 Flash
TaxEval (Vals AI)74.4%71.6%Gemini 3.5 Flash
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedQA (Vals AI)Not measured91.4%Only gpt-oss-120b measured
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
MMLU Pro (Artificial Analysis run)Not measured80.8%Only gpt-oss-120b measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951382Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831388Gemini 3.5 Flash
LMArena Text: legal and government14881355Gemini 3.5 Flash
LMArena Text: business and finance14671359Gemini 3.5 Flash
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 Flashgpt-oss-120bLeader
Design Arena: websites1268968Gemini 3.5 Flash
Design Arena: UI components1272927Gemini 3.5 Flash
Design Arena: game dev1263992Gemini 3.5 Flash
Design Arena: data viz1236987Gemini 3.5 Flash
Design Arena: 3D1244901Gemini 3.5 Flash
Design Arena: all code categories1266963Gemini 3.5 Flash
Design Arena: SVG1254Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1253Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index220
General benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 Flashgpt-oss-120bLeader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%69.0%Gemini 3.5 Flash
Long context reasoning (AA-LCR)74.3%52.0%Gemini 3.5 Flash
DTBench94.7%76.3%Gemini 3.5 Flash
LMCA47.1%22.1%Gemini 3.5 Flash
Fiction.LiveBenchNot measured44.4%Only gpt-oss-120b measured
Creative writing (Lech Mazur)Not measured77.1%Only gpt-oss-120b measured
Surface Evolver Bench58.1%25.0%Gemini 3.5 Flash
LMArena Text14821366Gemini 3.5 Flash
LMArena Text: instruction following14671318Gemini 3.5 Flash
LMArena Text: creative writing14701274Gemini 3.5 Flash
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English14811375Gemini 3.5 Flash
LMArena Text: non-English14751351Gemini 3.5 Flash
LMArena Text: Chinese15271385Gemini 3.5 Flash
LMArena Text: German14941353Gemini 3.5 Flash
LMArena Text: Japanese14861331Gemini 3.5 Flash
LMArena Text: Korean14481282Gemini 3.5 Flash
LMArena Text: French14901370Gemini 3.5 Flash
LMArena Text: Spanish14801389Gemini 3.5 Flash
LMArena Text: Russian14931343Gemini 3.5 Flash
LMArena Text: Polish15161353Gemini 3.5 Flash
LMArena Text: multi-turn14811340Gemini 3.5 Flash
LMArena Text: longer queries14831319Gemini 3.5 Flash
LMArena Text: writing and language14781306Gemini 3.5 Flash
LMArena Text: entertainment and media14591292Gemini 3.5 Flash
LMArena Vision: English1305Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text1317Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing1301Not measuredOnly Gemini 3.5 Flash measured
LMArena Document1463Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash and gpt-oss-120b
BenchmarkGemini 3.5 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

Gemini 3.5 Flash$0.0060Fits in one request
gpt-oss-120b$0.0004Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
gpt-oss-120b$0.0093Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
gpt-oss-120b$0.036Exceeds 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 Gemini 3.5 Flash and gpt-oss-120b
SpecificationGoogle Gemini 3.5 FlashOpenAI gpt-oss-120b
MakerGoogleOpenAI
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026August 5, 2025
Context window1.05M131K
Input $/Mtok$1.50$0.15
Output $/Mtok$9.00$0.60
Coding index42.834.5
Independent measurements behind it12
Cost per solved task$1.21$0.51
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than gpt-oss-120b for coding?

Pick Gemini 3.5 Flash for coding: it scores 42.8 on the Vibe Coding Index against 34.5 for gpt-oss-120b, though on 1 benchmark against 2. Pick gpt-oss-120b when output tokens cost 15.0x less, or when a solved task costs $0.51 against $1.21.

Which is cheaper, Gemini 3.5 Flash or gpt-oss-120b?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; gpt-oss-120b costs $0.15 and $0.60. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and gpt-oss-120b $0.51.

Which has the bigger context window, Gemini 3.5 Flash or gpt-oss-120b?

Gemini 3.5 Flash, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 3.5 Flash vs gpt-oss-120b comparison based on?

61 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash's coding index rests on 1 independent benchmark and gpt-oss-120b's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next