Gemini 3.8 Flash vs GPT-5.4 Pro
Gemini 3.8 Flash costs 48.0x less per output token than GPT-5.4 Pro ($3.75 vs $180.00 per million). Updated October 21, 2026; 9 benchmarks have a result for both.
vs boards won of 9 shared
Gemini 3.8 Flash or GPT-5.4 Pro: which to pick
Only Gemini 3.8 Flash has a coding score, 61.6 on the Vibe Coding Index; GPT-5.4 Pro has none, so the two cannot be ranked on coding.
Pick GPT-5.4 Pro for a larger context window (1.05M against 1.05M tokens) and work measured by Epoch Capabilities Index or Chess puzzles, where it leads.
Model AGemini 3.8 FlashGoogle61.6/1006 independent benchmarks$2.74 per solved taskModel BGPT-5.4 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
- Shared results
- 9
- Gemini 3.8 Flash only
- 119
- GPT-5.4 Pro only
- 1
- Like-for-like categories
- 5 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 3.8 Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Gemini 3.8 Flash has a AA Intelligence Index result, 40.9.
Directional only
Agentic work
AA Agentic Index
No call
Only Gemini 3.8 Flash has a AA Agentic Index result, 40.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.8 Flash has a GPQA Diamond result, 94.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.8 Flash has a MMLU Pro result, 90.2%.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 3.8 Flash has a Design Arena: websites result, 1300.
Directional only
General
Vals Index
No call
Only Gemini 3.8 Flash has a Vals Index result, 56.0%.
Directional only
Long documents
Listed context window
GPT-5.4 Pro
GPT-5.4 Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.8 Flash
Gemini 3.8 Flash $0.0026, GPT-5.4 Pro $0.120 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.8 Flash has the number, $2.74.
Directional only
At a glance
- Coding index
- Gemini 3.8 Flash 61.6 from 6 benchmarks, GPT-5.4 Pro not benchmarked.
- Widest category
- Coding, 27.4 points apart on average over 1 shared benchmark.
- Widest single gap
- FrontierMath, tier 4: Gemini 3.8 Flash 22.0% against GPT-5.4 Pro 58.5%, 36.6 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.8 Flash $3.75 against GPT-5.4 Pro $180.00 per million output tokens, 48.0x apart.
- Context window
- Gemini 3.8 Flash takes 1.05M tokens, GPT-5.4 Pro 1.05M.
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 3.8 Flash | Bars | GPT-5.4 Pro | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 1 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 0 | ||
| All shared boards | 5 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | Leader |
|---|---|---|---|
| LiveBench coding | 82.2% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev | 1585 | Not measured | Only Gemini 3.8 Flash measured |
| AA Coding Index | 76.3 | Not measured | Only Gemini 3.8 Flash measured |
| LiveCodeBench (Vals AI) | 89.5% | Not measured | Only Gemini 3.8 Flash measured |
| SWE-bench Verified (Vals AI) | 80.0% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench (Vals AI) | 78.7% | Not measured | Only Gemini 3.8 Flash measured |
| Code migration (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| ProgramBench (Vals AI) | 1.0% | Not measured | Only Gemini 3.8 Flash measured |
| IOI (Vals AI) | 56.9% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 81.3% | Not measured | Only Gemini 3.8 Flash measured |
| SWE-bench Multimodal (Vals AI) | 40.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| SkillsBench (Vals AI) | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| CyberBench (Vals AI) | 43.8% | Not measured | Only Gemini 3.8 Flash measured |
| SciCode | 56.6% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierCode | 41.2% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierSWE | 19.6% | Not measured | Only Gemini 3.8 Flash measured |
| WeirdML | 84.8% | 57.4% | Gemini 3.8 Flash |
| ALE-Bench | 1269.7 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: coding | 1508 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: software and IT | 1507 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev: React | 1577 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev: HTML | 1616 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev: from an image | 1593 | Not measured | Only Gemini 3.8 Flash measured |
| SciCode | 12.3% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.9 | Not measured | Only Gemini 3.8 Flash measured |
| Epoch Capabilities Index | 157.4 | 159.6 | GPT-5.4 Pro |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 40.2 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building web apps | 1238 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building full-stack apps | 1244 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building mobile apps | 1236 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Android apps | 1074 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Godot games | 1273 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: PowerPoint slides | 1177 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: spreadsheets | 1056 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench research | 79.1% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench browser | 64.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench long agentic | 30.1% | Not measured | Only Gemini 3.8 Flash measured |
| SREBench (Vals AI) | 11.1% | Not measured | Only Gemini 3.8 Flash measured |
| Finance Agent (Vals AI) | 61.4% | Not measured | Only Gemini 3.8 Flash measured |
| Tax Agent Bench (Vals AI) | 32.1% | Not measured | Only Gemini 3.8 Flash measured |
| Legal Research Bench (Vals AI) | 38.9% | Not measured | Only Gemini 3.8 Flash measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.1% | Not measured | Only Gemini 3.8 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 72.2% | Not measured | Only Gemini 3.8 Flash measured |
| BioMysteryBench (Vals AI) | 62.2% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench-Science (Vals AI) | 8.6% | Not measured | Only Gemini 3.8 Flash measured |
| Vals Science Index | 35.8% | Not measured | Only Gemini 3.8 Flash measured |
| Time Horizon Index (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| CUA-bench (Vals AI) | 4.2% | Not measured | Only Gemini 3.8 Flash measured |
| APEX-Agents | 64.3% | Not measured | Only Gemini 3.8 Flash measured |
| Remote Labor Index | 5.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vending-Bench 2 | $5,094 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 94.4% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench reasoning | 89.3% | Not measured | Only Gemini 3.8 Flash measured |
| MysteryMechanism (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| MMMU Pro (Vals AI) | 89.1% | Not measured | Only Gemini 3.8 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 95.3% | Not measured | Only Gemini 3.8 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 47.8% | Not measured | Only Gemini 3.8 Flash measured |
| GPQA Diamond (Epoch AI run) | 95.4% | 94.6% | Gemini 3.8 Flash |
| ARC-AGI | 98.5% | 94.5% | Gemini 3.8 Flash |
| ARC-AGI-2 | 89.2% | 83.3% | Gemini 3.8 Flash |
| SimpleBench | Not measured | 74.1% | Only GPT-5.4 Pro measured |
| Chess puzzles | 58.0% | 59.0% | GPT-5.4 Pro |
| Mystery game puzzles | 47.0% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: hard prompts | 1509 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: expert | 1526 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: hard prompts in English | 1504 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: diagrams | 1345 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: homework | 1351 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierMath, tiers 1 to 3 | 68.4% | 82.5% | GPT-5.4 Pro |
| FrontierMath, tier 4 | 22.0% | 58.5% | GPT-5.4 Pro |
| ProofBench | 48.0% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: math | 1532 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: mathematical work | 1519 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | Leader |
|---|---|---|---|
| MMLU Pro | 90.2% | Not measured | Only Gemini 3.8 Flash measured |
| LegalBench (Vals AI) | 87.0% | Not measured | Only Gemini 3.8 Flash measured |
| TaxEval (Vals AI) | 74.5% | Not measured | Only Gemini 3.8 Flash measured |
| MortgageTax (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| MedCode (Vals AI) | 48.1% | Not measured | Only Gemini 3.8 Flash measured |
| SimpleQA Verified | 69.7% | 46.3% | Gemini 3.8 Flash |
| LMArena Text: science | 1523 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: medicine and healthcare | 1508 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: legal and government | 1497 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: business and finance | 1479 | Not measured | Only Gemini 3.8 Flash measured |
| FACTS Benchmark Suite | 69.4% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1300 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: UI components | 1319 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: game dev | 1305 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: data viz | 1269 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: 3D | 1295 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: all code categories | 1304 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: SVG | 1295 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: ASCII art | 1265 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench design | 72.7% | Not measured | Only Gemini 3.8 Flash measured |
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards, none shared
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | Leader |
|---|---|---|---|
| Vals Index | 56.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench data analysis | 54.0% | Not measured | Only Gemini 3.8 Flash measured |
| Public Benefits Bench (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| SAGE (Vals AI) | 35.1% | Not measured | Only Gemini 3.8 Flash measured |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Gemini 3.8 Flash measured |
| Long context reasoning (AA-LCR) | 84.0% | Not measured | Only Gemini 3.8 Flash measured |
| DTBench | 95.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMCA | 52.9% | Not measured | Only Gemini 3.8 Flash measured |
| Surface Evolver Bench | 76.9% | Not measured | Only Gemini 3.8 Flash measured |
| Furniture assembly | 31.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text | 1499 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: instruction following | 1492 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: creative writing | 1488 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision | 1315 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: English | 1498 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: non-English | 1491 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Chinese | 1553 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: German | 1501 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Japanese | 1507 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Korean | 1464 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: French | 1496 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Spanish | 1487 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Russian | 1514 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Polish | 1497 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: multi-turn | 1503 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: longer queries | 1507 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: writing and language | 1494 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: entertainment and media | 1480 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: English | 1318 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: Chinese | 1416 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: reading text | 1333 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: creative writing | 1299 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.8 Flash | GPT-5.4 Pro | 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 3.8 Flash$0.0026Fits in one request
GPT-5.4 Pro$0.120Fits in one request
Gemini 3.8 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 3.8 Flash$0.049Fits in one request
GPT-5.4 Pro$2.04Fits in one request
Gemini 3.8 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 3.8 Flash$0.188Fits in one request
GPT-5.4 Pro$7.80Fits in one request
Gemini 3.8 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.
| Specification | Google Gemini 3.8 Flash | OpenAI GPT-5.4 Pro |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | September 2, 2026 | March 5, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.75 | $30.00 |
| Output $/Mtok | $3.75 | $180.00 |
| Coding index | 61.6 | Not benchmarked |
| Independent measurements behind it | 6 | 0 |
| Cost per solved task | $2.74 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.8 Flash better than GPT-5.4 Pro for coding?
Only Gemini 3.8 Flash has a coding score, 61.6 on the Vibe Coding Index; GPT-5.4 Pro has none, so the two cannot be ranked on coding. Pick GPT-5.4 Pro for a larger context window (1.05M against 1.05M tokens) and work measured by Epoch Capabilities Index or Chess puzzles, where it leads.
Which is cheaper, Gemini 3.8 Flash or GPT-5.4 Pro?
Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; GPT-5.4 Pro costs $30.00 and $180.00. Cost per solved task is known for Gemini 3.8 Flash only.
Which has the bigger context window, Gemini 3.8 Flash or GPT-5.4 Pro?
GPT-5.4 Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.8 Flash vs GPT-5.4 Pro comparison based on?
9 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and GPT-5.4 Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.