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Gemini 2.5 Flash vs GPT-4 Turbo

Gemini 2.5 Flash leads GPT-4 Turbo on the Artificial Analysis Intelligence Index, 15.5 to 7.0, and Gemini 2.5 Flash costs 12.0x less per output token ($2.50 vs $30.00 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Replace Gemini 2.5 Flash Replace GPT-4 Turbo
Gemini 2.5 FlashGoogle
Coding
No data
Overall
34.3
Output $/M
$2.50
38
GPT-4 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$30.00
0
vs boards won of 38 shared

Gemini 2.5 Flash or GPT-4 Turbo: which to pick

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

Pick Gemini 2.5 Flash for output tokens 12.0x cheaper ($2.50 vs $30.00 per million) and a larger context window (1.05M against 128K tokens).

Model AGemini 2.5 FlashGoogleNot benchmarkedNo coding benchmark$0.466 per solved taskModel BGPT-4 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
Gemini 2.5 Flash only
35
GPT-4 Turbo only
4
Like-for-like categories
6 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-4 Turbo not benchmarked.
Widest category
Coding, 30.9 points apart on average over 3 shared benchmarks.
Widest single gap
LiveCodeBench (Artificial Analysis run): Gemini 2.5 Flash 69.5% against GPT-4 Turbo 29.1%, 40.4 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash $2.50 against GPT-4 Turbo $30.00 per million output tokens, 12.0x apart.
Context window
Gemini 2.5 Flash takes 1.05M tokens, GPT-4 Turbo 128K.

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-4 TurboTies
Coding30
Intelligence20
Reasoning40
Math20
Knowledge50
General220
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Gemini 2.5 Flash and GPT-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
SWE-bench Verified28.7%Not measuredOnly Gemini 2.5 Flash measured
AA Coding IndexNot measured21.5Only GPT-4 Turbo measured
LiveCodeBench (Artificial Analysis run)69.5%29.1%Gemini 2.5 Flash
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly Gemini 2.5 Flash measured
Terminal-Bench17.1%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: coding14231268Gemini 2.5 Flash
LMArena Text: software and IT14251267Gemini 2.5 Flash
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Flash and GPT-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
AA Intelligence Index15.57.0Gemini 2.5 Flash
Epoch Capabilities Index142.9127.3Gemini 2.5 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for Gemini 2.5 Flash and GPT-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
τ²-Bench Telecom31.6%Not measuredOnly Gemini 2.5 Flash measured
BALROG33.5%Not measuredOnly Gemini 2.5 Flash measured
Vending-Bench 2$549Not measuredOnly Gemini 2.5 Flash measured
Berkeley Function Calling Leaderboard (BFCL)56.2%Not measuredOnly Gemini 2.5 Flash measured
BrowseComp-Plus39.9%Not 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 index40
Reasoning benchmarks for Gemini 2.5 Flash and GPT-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
GPQA Diamond (Artificial Analysis run)79.0%Not measuredOnly Gemini 2.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)12.1%3.1%Gemini 2.5 Flash
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 prompts14221251Gemini 2.5 Flash
LMArena Text: expert14261223Gemini 2.5 Flash
LMArena Text: hard prompts in English14201266Gemini 2.5 Flash
LMArena Vision: diagrams1245Not measuredOnly Gemini 2.5 Flash measured
LMArena Vision: homework1244Not measuredOnly Gemini 2.5 Flash measured
Kagi LLM Benchmark56.8%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 2.5 Flash and GPT-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
AA Math Index73.3Not measuredOnly Gemini 2.5 Flash measured
AIME 2025 (Artificial Analysis run)73.3%Not measuredOnly Gemini 2.5 Flash measured
LMArena Text: math14111272Gemini 2.5 Flash
LMArena Text: mathematical work14221268Gemini 2.5 Flash
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Gemini 2.5 Flash and GPT-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
LegalBench (Vals AI)Not measured80.5%Only GPT-4 Turbo measured
MedQA (Vals AI)Not measured82.0%Only GPT-4 Turbo measured
MedCode (Vals AI)40.4%Not measuredOnly Gemini 2.5 Flash measured
MMLU Pro (Artificial Analysis run)83.2%69.4%Gemini 2.5 Flash
MMLUNot measured81.3%Only GPT-4 Turbo measured
LMArena Text: science14331256Gemini 2.5 Flash
LMArena Text: medicine and healthcare14281239Gemini 2.5 Flash
LMArena Text: legal and government14301265Gemini 2.5 Flash
LMArena Text: business and finance14041222Gemini 2.5 Flash
FACTS Benchmark Suite47.2%Not measuredOnly Gemini 2.5 Flash measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemini 2.5 Flash and GPT-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
Design Arena: websites1074Not measuredOnly Gemini 2.5 Flash measured
Design Arena: UI components1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: game dev1005Not measuredOnly Gemini 2.5 Flash measured
Design Arena: data viz1060Not measuredOnly Gemini 2.5 Flash measured
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 index220
General benchmarks for Gemini 2.5 Flash and GPT-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
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%Not measuredOnly Gemini 2.5 Flash measured
Long context reasoning (AA-LCR)65.3%Not measuredOnly Gemini 2.5 Flash measured
DTBench76.5%61.6%Gemini 2.5 Flash
LMCA27.5%9.8%Gemini 2.5 Flash
LMArena Text14171272Gemini 2.5 Flash
LMArena Text: instruction following14051249Gemini 2.5 Flash
LMArena Text: creative writing14001268Gemini 2.5 Flash
LMArena Vision12351090Gemini 2.5 Flash
LMArena Text: English14181291Gemini 2.5 Flash
LMArena Text: non-English14091245Gemini 2.5 Flash
LMArena Text: Chinese14491242Gemini 2.5 Flash
LMArena Text: German14171259Gemini 2.5 Flash
LMArena Text: Japanese13961194Gemini 2.5 Flash
LMArena Text: Korean13851187Gemini 2.5 Flash
LMArena Text: French14321276Gemini 2.5 Flash
LMArena Text: Spanish14221260Gemini 2.5 Flash
LMArena Text: Russian14151259Gemini 2.5 Flash
LMArena Text: Polish14131302Gemini 2.5 Flash
LMArena Text: multi-turn14081267Gemini 2.5 Flash
LMArena Text: longer queries14191254Gemini 2.5 Flash
LMArena Text: writing and language14051279Gemini 2.5 Flash
LMArena Text: entertainment and media13931258Gemini 2.5 Flash
LMArena Vision: English12391097Gemini 2.5 Flash
LMArena Vision: Chinese12841045Gemini 2.5 Flash
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-4 Turbo
BenchmarkGemini 2.5 FlashGPT-4 TurboLeader
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-4 Turbo$0.025Fits in one request

Gemini 2.5 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash$0.022Fits in one request
GPT-4 Turbo$0.590Fits in one request

Gemini 2.5 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash$0.085Fits in one request
GPT-4 Turbo$2.30Exceeds the context window

Gemini 2.5 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 Gemini 2.5 Flash and GPT-4 Turbo
SpecificationGoogle Gemini 2.5 FlashOpenAI GPT-4 Turbo
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025April 9, 2024
Context window1.05M128K
Input $/Mtok$0.30$10.00
Output $/Mtok$2.50$30.00
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-4 Turbo for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for output tokens 12.0x cheaper ($2.50 vs $30.00 per million) and a larger context window (1.05M against 128K tokens).

Which is cheaper, Gemini 2.5 Flash or GPT-4 Turbo?

Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-4 Turbo costs $10.00 and $30.00. Cost per solved task is known for Gemini 2.5 Flash only.

Which has the bigger context window, Gemini 2.5 Flash or GPT-4 Turbo?

Gemini 2.5 Flash, with 1.05M tokens against 128K.

How many benchmarks is the Gemini 2.5 Flash vs GPT-4 Turbo comparison based on?

38 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-4 Turbo's on 0. Where only one model has a result, the page says so instead of naming a winner.

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