Gemini 3.6 Flash vs gpt-oss-120b

Gemini 3.6 Flash leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 34.0 to 11.6, and gpt-oss-120b costs 7.5x less per output token ($0.50 vs $3.75 per million). Updated October 22, 2026; 58 benchmarks have a result for both.

Replace Gemini 3.6 Flash Replace gpt-oss-120b

Gemini 3.6 FlashGoogle

Coding: 62.5
Overall: 68.3
Output $/M: $3.75

gpt-oss-120bOpenAI

Coding: No data
Overall: 50.0
Output $/M: $0.50

vs boards won of 58 shared

Gemini 3.6 Flash or gpt-oss-120b: which to pick

Only Gemini 3.6 Flash has a coding score, 62.5 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 7.5x cheaper ($0.50 vs $3.75 per million) and a lower cost per solved task ($0.51 against $1.49).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task Model Bgpt-oss-120bOpenAINot benchmarked1 independent benchmark$0.51 per solved task

585123

Shared results: 58
Gemini 3.6 Flash only: 51
gpt-oss-120b only: 23
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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Gemini 3.6 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 34.0 against 11.6.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 29.0 against 3.7.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 93.4% against 78.5%.
Same board, both measured
Math
AIME
No call
Only gpt-oss-120b has a AIME result, 92.6%.
Directional only
Knowledge
MMLU Pro
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 89.3% against 79.2%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 1300 against 967.
Same board, both measured
Long documents
Listed context window
Gemini 3.6 Flash
Gemini 3.6 Flash takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-120b
Gemini 3.6 Flash $0.0026, gpt-oss-120b $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
gpt-oss-120b
Gemini 3.6 Flash $1.49, gpt-oss-120b $0.51.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.6 Flash 62.5 from 4 benchmarks, gpt-oss-120b not benchmarked.
Widest category: Web design, 41.1 points apart on average over 6 shared benchmarks.
Widest single gap: Design Arena: 3D: Gemini 3.6 Flash 1271 against gpt-oss-120b 901, 46.3 points apart on a 0 to 100 scale.
Output price: Gemini 3.6 Flash $3.75 against gpt-oss-120b $0.50 per million output tokens, 7.5x apart.
Context window: Gemini 3.6 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
Category	Gemini 3.6 Flash	Bars	gpt-oss-120b	Ties
Coding	9		0
Intelligence	2		0
Agentic work	2		0
Reasoning	8		0
Math	3		0
Knowledge	8		0
Web design	6		0
General	20		0
All shared boards	58		0

CodingLike-for-likeSix of these boards feed the Vibe Coding Index90

Coding benchmarks for Gemini 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
Aider polyglot	Not measured	41.8%	Only gpt-oss-120b measured
SWE-bench Verified	Not measured	26.0%	Only gpt-oss-120b measured
LMArena WebDev	1538	Not measured	Only Gemini 3.6 Flash measured
AA Coding Index	69.2	30.4	Gemini 3.6 Flash
LiveCodeBench (Vals AI)	88.1%	83.2%	Gemini 3.6 Flash
SWE-bench Verified (Vals AI)	79.6%	33.6%	Gemini 3.6 Flash
Vibe Code Bench (Vals AI)	64.0%	Not measured	Only Gemini 3.6 Flash measured
Code migration (Vals AI)	30.9%	Not measured	Only Gemini 3.6 Flash measured
ProgramBench (Vals AI)	0.0%	Not measured	Only Gemini 3.6 Flash measured
IOI (Vals AI)	35.1%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)	73.8%	Not measured	Only Gemini 3.6 Flash measured
CyberBench (Vals AI)	45.4%	Not measured	Only Gemini 3.6 Flash measured
LiveCodeBench (Artificial Analysis run)	Not measured	87.8%	Only gpt-oss-120b measured
SciCode	53.4%	34.0%	Gemini 3.6 Flash
Terminal-Bench Hard (Artificial Analysis run)	Not measured	23.5%	Only gpt-oss-120b measured
Terminal-Bench	Not measured	18.7%	Only gpt-oss-120b measured
FrontierCode	34.4%	Not measured	Only Gemini 3.6 Flash measured
WeirdML	56.1%	48.2%	Gemini 3.6 Flash
ALE-Bench	715.5	575.6	Gemini 3.6 Flash
LMArena Text: coding	1491	1379	Gemini 3.6 Flash
LMArena Text: software and IT	1492	1387	Gemini 3.6 Flash
LMArena WebDev: React	1528	Not measured	Only Gemini 3.6 Flash measured
LMArena WebDev: HTML	1547	Not measured	Only Gemini 3.6 Flash measured
LMArena WebDev: from an image	1545	Not measured	Only Gemini 3.6 Flash measured
SciCode	10.8%	7.7%	Gemini 3.6 Flash
Neither model has a result on the other 14 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for Gemini 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
AA Intelligence Index	34.0	11.6	Gemini 3.6 Flash
Epoch Capabilities Index	154.5	139.8	Gemini 3.6 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index20

Agentic work benchmarks for Gemini 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
AA Agentic Index	29.0	3.7	Gemini 3.6 Flash
Design Arena: agents building web apps	1197	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps	1181	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building mobile apps	1198	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building Android apps	1204	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building games	1180	Not measured	Only Gemini 3.6 Flash measured
Design Arena: HTML slides	1099	Not measured	Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slides	1121	Not measured	Only Gemini 3.6 Flash measured
Design Arena: spreadsheets	1071	Not measured	Only Gemini 3.6 Flash measured
Finance Agent (Vals AI)	56.3%	Not measured	Only Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)	18.0%	Not measured	Only Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)	25.0%	Not measured	Only Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)	65.4%	Not measured	Only Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)	58.5%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)	4.3%	Not measured	Only Gemini 3.6 Flash measured
τ²-Bench Telecom	Not measured	65.8%	Only gpt-oss-120b measured
APEX-Agents	46.9%	4.4%	Gemini 3.6 Flash
METR time horizons	Not measured	56.6%	Only gpt-oss-120b measured
Vending-Bench 2	Not measured	-$22	Only gpt-oss-120b measured
BrowseComp-Plus	Not measured	67.0%	Only gpt-oss-120b measured
Neither model has a result on the other 21 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index80

Reasoning benchmarks for Gemini 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
GPQA Diamond	93.4%	78.5%	Gemini 3.6 Flash
MMMU Pro (Vals AI)	88.4%	Not measured	Only Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)	92.8%	78.2%	Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)	40.8%	19.6%	Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)	94.1%	75.8%	Gemini 3.6 Flash
ARC-AGI	91.2%	Not measured	Only Gemini 3.6 Flash measured
ARC-AGI-2	60.4%	Not measured	Only Gemini 3.6 Flash measured
SimpleBench	Not measured	22.1%	Only gpt-oss-120b measured
Chess puzzles	42.0%	Not measured	Only Gemini 3.6 Flash measured
Mystery game puzzles	30.0%	2.0%	Gemini 3.6 Flash
LMArena Text: hard prompts	1486	1364	Gemini 3.6 Flash
LMArena Text: expert	1490	1356	Gemini 3.6 Flash
LMArena Text: hard prompts in English	1484	1368	Gemini 3.6 Flash
LMArena Vision: diagrams	1314	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: homework	1314	Not measured	Only Gemini 3.6 Flash measured
Kagi LLM Benchmark	Not measured	58.6%	Only gpt-oss-120b measured
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index30

Math benchmarks for Gemini 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
AIME	Not measured	92.6%	Only gpt-oss-120b measured
MATH 500 (Vals AI)	Not measured	94.8%	Only gpt-oss-120b measured
MGSM (Vals AI)	Not measured	92.0%	Only gpt-oss-120b measured
AA Math Index	Not measured	93.4	Only gpt-oss-120b measured
AIME 2025 (Artificial Analysis run)	Not measured	93.4%	Only gpt-oss-120b measured
OTIS Mock AIME	94.2%	88.9%	Gemini 3.6 Flash
FrontierMath, tiers 1 to 3	58.9%	Not measured	Only Gemini 3.6 Flash measured
FrontierMath, tier 4	22.0%	Not measured	Only Gemini 3.6 Flash measured
ProofBench	36.0%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: math	1508	1389	Gemini 3.6 Flash
LMArena Text: mathematical work	1492	1386	Gemini 3.6 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 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
MMLU Pro	89.3%	79.2%	Gemini 3.6 Flash
LegalBench (Vals AI)	86.7%	75.9%	Gemini 3.6 Flash
CaseLaw (Vals AI)	Not measured	48.8%	Only gpt-oss-120b measured
CorpFin (Vals AI)	63.3%	58.2%	Gemini 3.6 Flash
TaxEval (Vals AI)	74.9%	71.6%	Gemini 3.6 Flash
MortgageTax (Vals AI)	67.6%	Not measured	Only Gemini 3.6 Flash measured
MedQA (Vals AI)	Not measured	91.4%	Only gpt-oss-120b measured
MedCode (Vals AI)	53.1%	Not measured	Only Gemini 3.6 Flash measured
MMLU Pro (Artificial Analysis run)	Not measured	80.8%	Only gpt-oss-120b measured
SimpleQA Verified	66.2%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: science	1489	1382	Gemini 3.6 Flash
LMArena Text: medicine and healthcare	1469	1388	Gemini 3.6 Flash
LMArena Text: legal and government	1479	1355	Gemini 3.6 Flash
LMArena Text: business and finance	1464	1359	Gemini 3.6 Flash
FACTS Benchmark Suite	65.3%	Not measured	Only Gemini 3.6 Flash measured
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 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
Design Arena: websites	1300	967	Gemini 3.6 Flash
Design Arena: UI components	1294	924	Gemini 3.6 Flash
Design Arena: game dev	1263	992	Gemini 3.6 Flash
Design Arena: data viz	1289	987	Gemini 3.6 Flash
Design Arena: 3D	1271	901	Gemini 3.6 Flash
Design Arena: all code categories	1289	962	Gemini 3.6 Flash
Design Arena: ASCII art	1281	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index200

General benchmarks for Gemini 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
Public Benefits Bench (Vals AI)	56.6%	Not measured	Only Gemini 3.6 Flash measured
SAGE (Vals AI)	48.7%	Not measured	Only Gemini 3.6 Flash measured
MedScribe (Vals AI)	79.7%	Not measured	Only Gemini 3.6 Flash measured
Vals Multimodal Index	65.1%	Not measured	Only Gemini 3.6 Flash measured
IFBench	Not measured	69.0%	Only gpt-oss-120b measured
Long context reasoning (AA-LCR)	80.0%	52.0%	Gemini 3.6 Flash
DTBench	95.5%	76.3%	Gemini 3.6 Flash
LMCA	44.9%	22.1%	Gemini 3.6 Flash
Fiction.LiveBench	Not measured	44.4%	Only gpt-oss-120b measured
Creative writing (Lech Mazur)	Not measured	77.1%	Only gpt-oss-120b measured
Surface Evolver Bench	Not measured	25.0%	Only gpt-oss-120b measured
Furniture assembly	23.3%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text	1480	1366	Gemini 3.6 Flash
LMArena Text: instruction following	1467	1318	Gemini 3.6 Flash
LMArena Text: creative writing	1466	1274	Gemini 3.6 Flash
LMArena Vision	1299	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: English	1482	1375	Gemini 3.6 Flash
LMArena Text: non-English	1470	1351	Gemini 3.6 Flash
LMArena Text: Chinese	1531	1385	Gemini 3.6 Flash
LMArena Text: German	1480	1353	Gemini 3.6 Flash
LMArena Text: Japanese	1475	1331	Gemini 3.6 Flash
LMArena Text: Korean	1429	1282	Gemini 3.6 Flash
LMArena Text: French	1503	1370	Gemini 3.6 Flash
LMArena Text: Spanish	1476	1389	Gemini 3.6 Flash
LMArena Text: Russian	1488	1343	Gemini 3.6 Flash
LMArena Text: Polish	1473	1353	Gemini 3.6 Flash
LMArena Text: multi-turn	1481	1340	Gemini 3.6 Flash
LMArena Text: longer queries	1475	1319	Gemini 3.6 Flash
LMArena Text: writing and language	1470	1306	Gemini 3.6 Flash
LMArena Text: entertainment and media	1456	1292	Gemini 3.6 Flash
LMArena Vision: English	1295	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: Chinese	1357	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: reading text	1312	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: humor	1289	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: creative writing	1278	Not measured	Only Gemini 3.6 Flash measured
LMArena Document	1456	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 10 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Gemini 3.6 Flash and gpt-oss-120b
Benchmark	Gemini 3.6 Flash	gpt-oss-120b	Leader
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 3.6 Flash$0.0026Fits in one request

gpt-oss-120b$0.0003Fits in one request

gpt-oss-120b costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request

gpt-oss-120b$0.0065Fits in one request

gpt-oss-120b costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request

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 Gemini 3.6 Flash and gpt-oss-120b
Specification	Google Gemini 3.6 Flash	OpenAI gpt-oss-120b
Maker	Google	OpenAI
Weights	No public weights listed	Open weights
Released	July 21, 2026	August 5, 2025
Context window	1.05M	131K
Input $/Mtok	$0.75	$0.10
Output $/Mtok	$3.75	$0.50
Coding index	62.5	Not benchmarked
Independent measurements behind it	4	1
Cost per solved task	$1.49	$0.51
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.6 Flash better than gpt-oss-120b for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 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 7.5x cheaper ($0.50 vs $3.75 per million) and a lower cost per solved task ($0.51 against $1.49).

Which is cheaper, Gemini 3.6 Flash or gpt-oss-120b?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and gpt-oss-120b $0.51.

Which has the bigger context window, Gemini 3.6 Flash or gpt-oss-120b?

Gemini 3.6 Flash, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 3.6 Flash vs gpt-oss-120b comparison based on?

58 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 Flash's coding index rests on 4 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.

Gemini 3.6 Flash or gpt-oss-120b: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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