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Gemini 2.5 Flash vs gpt-oss-20b

Gemini 2.5 Flash leads gpt-oss-20b on the Artificial Analysis Intelligence Index, 15.5 to 10.0, and gpt-oss-20b costs 16.7x less per output token ($0.15 vs $2.50 per million). Updated October 21, 2026; 44 benchmarks have a result for both.

Replace Gemini 2.5 Flash Replace gpt-oss-20b
Gemini 2.5 FlashGoogle
Coding
No data
Overall
15.5
Output $/M
$2.50
39
gpt-oss-20bOpenAI
Coding
No data
Overall
10.0
Output $/M
$0.15
5
vs boards won of 44 shared

Gemini 2.5 Flash or gpt-oss-20b: which to pick

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

Pick Gemini 2.5 Flash for a larger context window (1.05M against 131K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Model AGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved taskModel Bgpt-oss-20bOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
44
Gemini 2.5 Flash only
25
gpt-oss-20b only
16
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
Gemini 2.5 Flash not benchmarked, gpt-oss-20b not benchmarked.
Widest category
Agentic work, 28.7 points apart on average over 1 shared benchmark.
Widest single gap
LMArena Text: creative writing: Gemini 2.5 Flash 1400 against gpt-oss-20b 1201, 33.1 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against gpt-oss-20b $0.15 per million output tokens, 16.7x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, gpt-oss-20b 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 2.5 FlashBarsgpt-oss-20bTies
Coding41
Intelligence20
Agentic work01
Reasoning50
Math22
Knowledge50
Web design20
General191
All shared boards395
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
Coding benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
LiveCodeBench (Vals AI)Not measured80.4%Only gpt-oss-20b measured
LiveCodeBench (Artificial Analysis run)69.5%77.7%gpt-oss-20b
SciCodeNot measured38.9%Only gpt-oss-20b measured
Terminal-Bench Hard (Artificial Analysis run)13.6%10.6%Gemini 2.5 Flash
Terminal-Bench17.1%3.4%Gemini 2.5 Flash
WeirdMLNot measured40.9%Only gpt-oss-20b measured
ALE-BenchNot measured566.0Only gpt-oss-20b measured
LMArena Text: coding14231307Gemini 2.5 Flash
LMArena Text: software and IT14251311Gemini 2.5 Flash
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
AA Intelligence Index15.510.0Gemini 2.5 Flash
Epoch Capabilities Index142.9137.7Gemini 2.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
τ²-Bench Telecom31.6%60.2%gpt-oss-20b
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
GPQA DiamondNot measured68.9%Only gpt-oss-20b measured
GPQA Diamond (Artificial Analysis run)79.0%68.8%Gemini 2.5 Flash
Humanity's Last Exam (Artificial Analysis run)12.1%11.0%Gemini 2.5 Flash
GPQA Diamond (Epoch AI run)Not measured60.8%Only gpt-oss-20b measured
ARC-AGI33.3%Not measuredOnly Gemini 2.5 Flash measured
ARC-AGI-22.5%Not measuredOnly Gemini 2.5 Flash measured
SimpleBench41.2%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: hard prompts14221274Gemini 2.5 Flash
LMArena Text: expert14261258Gemini 2.5 Flash
LMArena Text: hard prompts in English14201292Gemini 2.5 Flash
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
AIMENot measured86.0%Only gpt-oss-20b measured
MATH 500 (Vals AI)Not measured94.2%Only gpt-oss-20b measured
MGSM (Vals AI)Not measured89.0%Only gpt-oss-20b measured
AA Math Index73.389.3gpt-oss-20b
AIME 2025 (Artificial Analysis run)73.3%89.3%gpt-oss-20b
OTIS Mock AIMENot measured65.3%Only gpt-oss-20b measured
LMArena Text: math14111317Gemini 2.5 Flash
LMArena Text: mathematical work14221305Gemini 2.5 Flash
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
MMLU ProNot measured71.6%Only gpt-oss-20b measured
LegalBench (Vals AI)Not measured70.8%Only gpt-oss-20b measured
CaseLaw (Vals AI)Not measured43.8%Only gpt-oss-20b measured
CorpFin (Vals AI)Not measured53.1%Only gpt-oss-20b measured
TaxEval (Vals AI)Not measured63.7%Only gpt-oss-20b measured
MedQA (Vals AI)Not measured82.9%Only gpt-oss-20b measured
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%74.8%Gemini 2.5 Flash
LMArena Text: science14331296Gemini 2.5 Flash
LMArena Text: medicine and healthcare14281310Gemini 2.5 Flash
LMArena Text: legal and government14301280Gemini 2.5 Flash
LMArena Text: business and finance14041284Gemini 2.5 Flash
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index20
Web design benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
Design Arena: websites1074852Gemini 2.5 Flash
Design Arena: UI components1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: game dev1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: data viz1060933Gemini 2.5 Flash
Design Arena: 3D1021Not measuredOnly Gemini 2.5 Flash measured
Design Arena: all code categories1059Not measuredOnly Gemini 2.5 Flash measured
Design Arena: SVG1020Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index191
General benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
SAGE (Vals AI)44.8%Not measuredOnly Gemini 2.5 Flash measured
MedScribe (Vals AI)83.0%Not measuredOnly Gemini 2.5 Flash measured
IFBench50.3%65.1%gpt-oss-20b
Long context reasoning (AA-LCR)65.3%34.7%Gemini 2.5 Flash
DTBench76.5%68.0%Gemini 2.5 Flash
LMCA27.5%14.5%Gemini 2.5 Flash
LMArena Text14171288Gemini 2.5 Flash
LMArena Text: instruction following14051236Gemini 2.5 Flash
LMArena Text: creative writing14001201Gemini 2.5 Flash
LMArena Vision1235Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: English14181303Gemini 2.5 Flash
LMArena Text: non-English14091269Gemini 2.5 Flash
LMArena Text: Chinese14491315Gemini 2.5 Flash
LMArena Text: German14171255Gemini 2.5 Flash
LMArena Text: Japanese13961244Gemini 2.5 Flash
LMArena Text: Korean13851236Gemini 2.5 Flash
LMArena Text: French1432Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: Spanish14221267Gemini 2.5 Flash
LMArena Text: Russian14151278Gemini 2.5 Flash
LMArena Text: Polish14131252Gemini 2.5 Flash
LMArena Text: multi-turn14081268Gemini 2.5 Flash
LMArena Text: longer queries14191250Gemini 2.5 Flash
LMArena Text: writing and language14051238Gemini 2.5 Flash
LMArena Text: entertainment and media13931216Gemini 2.5 Flash
LMArena Vision: English1239Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: Chinese1284Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: reading text1237Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: humor1225Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: captioning1277Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: recognizing things1252Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: creative writing1241Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Flash and gpt-oss-20b
BenchmarkGemini 2.5 Flashgpt-oss-20bLeader
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 2.5 Flash$0.0015Fits in one request
gpt-oss-20b$0.0001Fits in one request

gpt-oss-20b costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
gpt-oss-20b$0.0019Fits in one request

gpt-oss-20b costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
gpt-oss-20b$0.0075Exceeds the context window

gpt-oss-20b 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 2.5 Flash and gpt-oss-20b
SpecificationGoogle Gemini 2.5 FlashOpenAI gpt-oss-20b
MakerGoogleOpenAI
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025August 5, 2025
Context window1.05M131K
Input $/Mtok$0.30$0.03
Output $/Mtok$2.50$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.466Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash better than gpt-oss-20b for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a larger context window (1.05M against 131K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Which is cheaper, Gemini 2.5 Flash or gpt-oss-20b?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; gpt-oss-20b costs $0.03 and $0.15. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or gpt-oss-20b?

Gemini 2.5 Flash, with 1.05M tokens against 131K.

How many benchmarks is the Gemini 2.5 Flash vs gpt-oss-20b comparison based on?

44 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and gpt-oss-20b's on 0. Where only one model has a result, the page says so instead of naming a winner.

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