Gemini 2.5 Flash vs GPT-5.4 Nano
GPT-5.4 Nano leads Gemini 2.5 Flash on the Artificial Analysis Intelligence Index, 20.7 to 15.5, and GPT-5.4 Nano costs 2.0x less per output token ($1.25 vs $2.50 per million). Updated October 21, 2026; 53 benchmarks have a result for both.
Gemini 2.5 Flash or GPT-5.4 Nano: which to pick
Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash for a larger context window (1.05M against 400K tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 53
- Gemini 2.5 Flash only
- 20
- GPT-5.4 Nano only
- 32
- Like-for-like categories
- 7 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 GPT-5.4 Nano has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GPT-5.4 Nano
GPT-5.4 Nano leads, 20.7 against 15.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only GPT-5.4 Nano has a AA Agentic Index result, 16.0.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-5.4 Nano has a GPQA Diamond result, 77.5%.
Directional only
Math
AIME
No call
Only GPT-5.4 Nano has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.4 Nano has a MMLU Pro result, 77.2%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 2.5 Flash has a Design Arena: websites result, 1074.
Directional only
Long documents
Listed context window
Gemini 2.5 Flash
Gemini 2.5 Flash takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.4 Nano
Gemini 2.5 Flash $0.0015, GPT-5.4 Nano $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.4 Nano
Gemini 2.5 Flash $0.466, GPT-5.4 Nano $0.14.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 2.5 Flash not benchmarked, GPT-5.4 Nano 44.8 from 2 benchmarks.
- Widest category
- Agentic work, 44.4 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Gemini 2.5 Flash 31.6% against GPT-5.4 Nano 76.0%, 44.4 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $2.50 against GPT-5.4 Nano $1.25 per million output tokens, 2.0x apart.
- Context window
- Gemini 2.5 Flash takes 1.05M tokens, GPT-5.4 Nano 400K.
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.
| Category | Gemini 2.5 Flash | Bars | GPT-5.4 Nano | Ties |
|---|---|---|---|---|
| Coding | 2 | 1 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 6 | 4 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 1 | ||
| General | 26 | 4 | ||
| All shared boards | 40 | 13 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SWE-bench Verified | 28.7% | Not measured | Only Gemini 2.5 Flash measured |
| AA Coding Index | Not measured | 56.1 | Only GPT-5.4 Nano measured |
| LiveCodeBench (Vals AI) | Not measured | 84.0% | Only GPT-5.4 Nano measured |
| SWE-bench Verified (Vals AI) | Not measured | 69.8% | Only GPT-5.4 Nano measured |
| Vibe Code Bench (Vals AI) | Not measured | 26.1% | Only GPT-5.4 Nano measured |
| Code migration (Vals AI) | Not measured | 14.5% | Only GPT-5.4 Nano measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 41.6% | Only GPT-5.4 Nano measured |
| LiveCodeBench (Artificial Analysis run) | 69.5% | Not measured | Only Gemini 2.5 Flash measured |
| SciCode | Not measured | 47.2% | Only GPT-5.4 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | 42.4% | GPT-5.4 Nano |
| Terminal-Bench | 17.1% | Not measured | Only Gemini 2.5 Flash measured |
| WeirdML | Not measured | 49.2% | Only GPT-5.4 Nano measured |
| ALE-Bench | Not measured | 1004.5 | Only GPT-5.4 Nano measured |
| LMArena Text: coding | 1423 | 1404 | Gemini 2.5 Flash |
| LMArena Text: software and IT | 1425 | 1402 | Gemini 2.5 Flash |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 20.7 | GPT-5.4 Nano |
| Epoch Capabilities Index | 142.9 | 146.0 | GPT-5.4 Nano |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 16.0 | Only GPT-5.4 Nano measured |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only GPT-5.4 Nano measured |
| Tax Agent Bench (Vals AI) | Not measured | 5.0% | Only GPT-5.4 Nano measured |
| Legal Research Bench (Vals AI) | Not measured | 6.3% | Only GPT-5.4 Nano measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 44.8% | Only GPT-5.4 Nano measured |
| τ²-Bench Telecom | 31.6% | 76.0% | GPT-5.4 Nano |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | Not measured | Only Gemini 2.5 Flash measured |
| Berkeley Function Calling Leaderboard (BFCL) | 56.2% | Not measured | Only Gemini 2.5 Flash measured |
| BrowseComp-Plus | 39.9% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index64
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 77.5% | Only GPT-5.4 Nano measured |
| MMMU Pro (Vals AI) | Not measured | 73.6% | Only GPT-5.4 Nano measured |
| GPQA Diamond (Artificial Analysis run) | 79.0% | 81.7% | GPT-5.4 Nano |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | 28.3% | GPT-5.4 Nano |
| GPQA Diamond (Epoch AI run) | Not measured | 78.5% | Only GPT-5.4 Nano measured |
| ARC-AGI | 33.3% | 51.5% | GPT-5.4 Nano |
| ARC-AGI-2 | 2.5% | 5.7% | GPT-5.4 Nano |
| SimpleBench | 41.2% | Not measured | Only Gemini 2.5 Flash measured |
| Chess puzzles | Not measured | 45.0% | Only GPT-5.4 Nano measured |
| Mystery game puzzles | Not measured | 9.0% | Only GPT-5.4 Nano measured |
| LMArena Text: hard prompts | 1422 | 1381 | Gemini 2.5 Flash |
| LMArena Text: expert | 1426 | 1396 | Gemini 2.5 Flash |
| LMArena Text: hard prompts in English | 1420 | 1387 | Gemini 2.5 Flash |
| LMArena Vision: diagrams | 1245 | 1210 | Gemini 2.5 Flash |
| LMArena Vision: homework | 1244 | 1225 | Gemini 2.5 Flash |
| Kagi LLM Benchmark | 56.8% | 39.7% | Gemini 2.5 Flash |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AIME | Not measured | 88.8% | Only GPT-5.4 Nano measured |
| AA Math Index | 73.3 | Not measured | Only Gemini 2.5 Flash measured |
| AIME 2025 (Artificial Analysis run) | 73.3% | Not measured | Only Gemini 2.5 Flash measured |
| OTIS Mock AIME | Not measured | 87.8% | Only GPT-5.4 Nano measured |
| FrontierMath, tiers 1 to 3 | Not measured | 44.9% | Only GPT-5.4 Nano measured |
| FrontierMath, tier 4 | Not measured | 12.2% | Only GPT-5.4 Nano measured |
| ProofBench | Not measured | 5.0% | Only GPT-5.4 Nano measured |
| LMArena Text: math | 1411 | 1405 | Gemini 2.5 Flash |
| LMArena Text: mathematical work | 1422 | 1409 | Gemini 2.5 Flash |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 77.2% | Only GPT-5.4 Nano measured |
| LegalBench (Vals AI) | Not measured | 77.9% | Only GPT-5.4 Nano measured |
| CaseLaw (Vals AI) | Not measured | 51.9% | Only GPT-5.4 Nano measured |
| CorpFin (Vals AI) | Not measured | 61.2% | Only GPT-5.4 Nano measured |
| TaxEval (Vals AI) | Not measured | 67.4% | Only GPT-5.4 Nano measured |
| MortgageTax (Vals AI) | Not measured | 59.1% | Only GPT-5.4 Nano measured |
| MedCode (Vals AI) | 40.4% | 41.0% | GPT-5.4 Nano |
| MMLU Pro (Artificial Analysis run) | 83.2% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleQA Verified | Not measured | 11.7% | Only GPT-5.4 Nano measured |
| LMArena Text: science | 1433 | 1374 | Gemini 2.5 Flash |
| LMArena Text: medicine and healthcare | 1428 | 1369 | Gemini 2.5 Flash |
| LMArena Text: legal and government | 1430 | 1368 | Gemini 2.5 Flash |
| LMArena Text: business and finance | 1404 | 1366 | Gemini 2.5 Flash |
| FACTS Benchmark Suite | 47.2% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: UI components | 1005 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: game dev | 1005 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: data viz | 1060 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: 3D | 1021 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: all code categories | 1059 | Not measured | Only Gemini 2.5 Flash measured |
| Design Arena: SVG | 1020 | Not measured | Only 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 index264
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 44.8% | 38.1% | Gemini 2.5 Flash |
| MedScribe (Vals AI) | 83.0% | 77.1% | Gemini 2.5 Flash |
| Vals Multimodal Index | Not measured | 47.6% | Only GPT-5.4 Nano measured |
| IFBench | 50.3% | 75.9% | GPT-5.4 Nano |
| Long context reasoning (AA-LCR) | 65.3% | 76.7% | GPT-5.4 Nano |
| DTBench | 76.5% | 80.3% | GPT-5.4 Nano |
| LMCA | 27.5% | 36.9% | GPT-5.4 Nano |
| LMArena Text | 1417 | 1372 | Gemini 2.5 Flash |
| LMArena Text: instruction following | 1405 | 1362 | Gemini 2.5 Flash |
| LMArena Text: creative writing | 1400 | 1315 | Gemini 2.5 Flash |
| LMArena Vision | 1235 | 1196 | Gemini 2.5 Flash |
| LMArena Text: English | 1418 | 1381 | Gemini 2.5 Flash |
| LMArena Text: non-English | 1409 | 1359 | Gemini 2.5 Flash |
| LMArena Text: Chinese | 1449 | 1391 | Gemini 2.5 Flash |
| LMArena Text: German | 1417 | 1368 | Gemini 2.5 Flash |
| LMArena Text: Japanese | 1396 | 1343 | Gemini 2.5 Flash |
| LMArena Text: Korean | 1385 | 1321 | Gemini 2.5 Flash |
| LMArena Text: French | 1432 | 1395 | Gemini 2.5 Flash |
| LMArena Text: Spanish | 1422 | 1371 | Gemini 2.5 Flash |
| LMArena Text: Russian | 1415 | 1363 | Gemini 2.5 Flash |
| LMArena Text: Polish | 1413 | 1366 | Gemini 2.5 Flash |
| LMArena Text: multi-turn | 1408 | 1382 | Gemini 2.5 Flash |
| LMArena Text: longer queries | 1419 | 1365 | Gemini 2.5 Flash |
| LMArena Text: writing and language | 1405 | 1338 | Gemini 2.5 Flash |
| LMArena Text: entertainment and media | 1393 | 1325 | Gemini 2.5 Flash |
| LMArena Vision: English | 1239 | 1202 | Gemini 2.5 Flash |
| LMArena Vision: Chinese | 1284 | 1232 | Gemini 2.5 Flash |
| LMArena Vision: reading text | 1237 | 1204 | Gemini 2.5 Flash |
| LMArena Vision: humor | 1225 | 1161 | Gemini 2.5 Flash |
| LMArena Vision: captioning | 1277 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: recognizing things | 1252 | 1141 | Gemini 2.5 Flash |
| LMArena Vision: creative writing | 1241 | 1159 | Gemini 2.5 Flash |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash | GPT-5.4 Nano | 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
GPT-5.4 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 Nano 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.
| Specification | Google Gemini 2.5 Flash | OpenAI GPT-5.4 Nano |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | June 17, 2025 | March 17, 2026 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $0.30 | $0.20 |
| Output $/Mtok | $2.50 | $1.25 |
| Coding index | Not benchmarked | 44.8 |
| Independent measurements behind it | 0 | 2 |
| Cost per solved task | $0.466 | $0.14 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than GPT-5.4 Nano for coding?
Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a larger context window (1.05M against 400K tokens) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Gemini 2.5 Flash or GPT-5.4 Nano?
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, Gemini 2.5 Flash costs $0.466 and GPT-5.4 Nano $0.14.
Which has the bigger context window, Gemini 2.5 Flash or GPT-5.4 Nano?
Gemini 2.5 Flash, with 1.05M tokens against 400K.
How many benchmarks is the Gemini 2.5 Flash vs GPT-5.4 Nano comparison based on?
53 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-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.