Gemini 2.5 Flash Lite vs GPT-5
Updated October 21, 2026. 28 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding.
Gemini 2.5 Flash Lite has the edge where output tokens cost 25.0x less, and where the context window is larger, 1.05M against 400K tokens.
- Shared results
- 28
- Gemini 2.5 Flash Lite only
- 0
- GPT-5 only
- 81
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
GPT-5
GPT-5 leads, 23.0 against 10.4.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5
GPT-5 leads, 85.6% against 70.2%.
Same board, both measured
Math
AIME
GPT-5
GPT-5 leads, 93.4% against 42.1%.
Same board, both measured
Knowledge
MMLU Pro
GPT-5
GPT-5 leads, 86.5% against 79.1%.
Same board, both measured
Web design
Design Arena: websites
No call
Only GPT-5 has a Design Arena: websites result, 1185.
Directional only
Long documents
Listed context window
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite $0.0003, GPT-5 $0.0063 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5 has the number, $0.39.
Directional only
At a glance
- Coding index
- Gemini 2.5 Flash Lite not benchmarked, GPT-5 38.8 from 3 benchmarks.
- Widest category
- Agentic work, 67.5 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Gemini 2.5 Flash Lite 19.0% against GPT-5 86.5%, 67.5 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash Lite $0.40 against GPT-5 $10.00 per million output tokens, 25.0x apart.
- Context window
- Gemini 2.5 Flash Lite takes 1.05M tokens, GPT-5 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 Lite | Bars | GPT-5 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 4 | ||
| Knowledge | 0 | 8 | ||
| General | 0 | 6 | ||
| All shared boards | 0 | 28 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Gemini 2.5 Flash Lite | GPT-5 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 88.0% | Only GPT-5 measured |
| SWE-bench Verified | Not measured | 74.4% | Only GPT-5 measured |
| LMArena WebDev | Not measured | 1418 | Only GPT-5 measured |
| AA Coding Index | Not measured | 37.8 | Only GPT-5 measured |
| LiveCodeBench (Vals AI) | 71.4% | 85.9% | GPT-5 |
| SWE-bench Verified (Vals AI) | Not measured | 69.0% | Only GPT-5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 20.1% | Only GPT-5 measured |
| LiveCodeBench (Artificial Analysis run) | 59.3% | 84.6% | GPT-5 |
| Terminal-Bench Hard (Artificial Analysis run) | 4.5% | 37.9% | GPT-5 |
| Terminal-Bench | Not measured | 49.6% | Only GPT-5 measured |
| GSO-Bench | Not measured | 6.9% | Only GPT-5 measured |
| WeirdML | Not measured | 60.7% | Only GPT-5 measured |
| ALE-Bench | Not measured | 807.6 | Only GPT-5 measured |
| LMArena Text: coding | Not measured | 1436 | Only GPT-5 measured |
| LMArena Text: software and IT | Not measured | 1420 | Only GPT-5 measured |
| LMArena WebDev: HTML | Not measured | 1427 | Only GPT-5 measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash Lite | GPT-5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.4 | 23.0 | GPT-5 |
| Epoch Capabilities Index | 133.8 | 150.0 | GPT-5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 2.5 Flash Lite | GPT-5 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 19.0% | 86.5% | GPT-5 |
| METR time horizons | Not measured | 69.6% | Only GPT-5 measured |
| Remote Labor Index | Not measured | 1.7% | Only GPT-5 measured |
| GDPval | Not measured | 34.8% | Only GPT-5 measured |
| BALROG | Not measured | 32.8% | Only GPT-5 measured |
| DeepResearch Bench | Not measured | 49.6% | Only GPT-5 measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 2.5 Flash Lite | GPT-5 | Leader |
|---|---|---|---|
| GPQA Diamond | 70.2% | 85.6% | GPT-5 |
| MMMU Pro (Vals AI) | 75.4% | 81.5% | GPT-5 |
| GPQA Diamond (Artificial Analysis run) | 62.5% | 85.4% | GPT-5 |
| Humanity's Last Exam (Artificial Analysis run) | 6.8% | 28.5% | GPT-5 |
| GPQA Diamond (Epoch AI run) | Not measured | 86.2% | Only GPT-5 measured |
| ARC-AGI | Not measured | 65.7% | Only GPT-5 measured |
| ARC-AGI-2 | Not measured | 9.9% | Only GPT-5 measured |
| SimpleBench | Not measured | 56.7% | Only GPT-5 measured |
| Chess puzzles | Not measured | 36.0% | Only GPT-5 measured |
| Mystery game puzzles | Not measured | 23.0% | Only GPT-5 measured |
| EBR-bench | Not measured | 12.7% | Only GPT-5 measured |
| VPCT | Not measured | 66.0% | Only GPT-5 measured |
| LMArena Text: hard prompts | Not measured | 1415 | Only GPT-5 measured |
| LMArena Text: expert | Not measured | 1419 | Only GPT-5 measured |
| LMArena Text: hard prompts in English | Not measured | 1419 | Only GPT-5 measured |
| LMArena Vision: diagrams | Not measured | 1252 | Only GPT-5 measured |
| LMArena Vision: homework | Not measured | 1278 | Only GPT-5 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 2.5 Flash Lite | GPT-5 | Leader |
|---|---|---|---|
| AIME | 42.1% | 93.4% | GPT-5 |
| MATH 500 (Vals AI) | Not measured | 96.0% | Only GPT-5 measured |
| MGSM (Vals AI) | 89.5% | 92.8% | GPT-5 |
| AA Math Index | 53.3 | 94.3 | GPT-5 |
| AIME 2025 (Artificial Analysis run) | 53.3% | 94.3% | GPT-5 |
| OTIS Mock AIME | Not measured | 91.4% | Only GPT-5 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 55.4% | Only GPT-5 measured |
| FrontierMath, tier 4 | Not measured | 22.0% | Only GPT-5 measured |
| ProofBench | Not measured | 18.0% | Only GPT-5 measured |
| MATH level 5 | Not measured | 98.1% | Only GPT-5 measured |
| LMArena Text: math | Not measured | 1407 | Only GPT-5 measured |
| LMArena Text: mathematical work | Not measured | 1405 | Only GPT-5 measured |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Gemini 2.5 Flash Lite | GPT-5 | Leader |
|---|---|---|---|
| MMLU Pro | 79.1% | 86.5% | GPT-5 |
| LegalBench (Vals AI) | 82.0% | 86.0% | GPT-5 |
| CaseLaw (Vals AI) | Not measured | 66.5% | Only GPT-5 measured |
| CorpFin (Vals AI) | 57.6% | 61.1% | GPT-5 |
| TaxEval (Vals AI) | 66.2% | 73.4% | GPT-5 |
| MortgageTax (Vals AI) | 57.6% | 65.5% | GPT-5 |
| MedQA (Vals AI) | 88.9% | 96.3% | GPT-5 |
| MedCode (Vals AI) | 34.2% | 49.6% | GPT-5 |
| MMLU Pro (Artificial Analysis run) | 75.9% | 87.1% | GPT-5 |
| SimpleQA Verified | Not measured | 50.1% | Only GPT-5 measured |
| GeoBench | Not measured | 81.0% | Only GPT-5 measured |
| LMArena Text: science | Not measured | 1416 | Only GPT-5 measured |
| LMArena Text: medicine and healthcare | Not measured | 1413 | Only GPT-5 measured |
| LMArena Text: legal and government | Not measured | 1431 | Only GPT-5 measured |
| LMArena Text: business and finance | Not measured | 1400 | Only GPT-5 measured |
| Neither model has a result on the other 2 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | GPT-5 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1185 | Only GPT-5 measured |
| Design Arena: UI components | Not measured | 1180 | Only GPT-5 measured |
| Design Arena: game dev | Not measured | 1185 | Only GPT-5 measured |
| Design Arena: data viz | Not measured | 1221 | Only GPT-5 measured |
| Design Arena: 3D | Not measured | 1056 | Only GPT-5 measured |
| Design Arena: all code categories | Not measured | 1168 | Only GPT-5 measured |
| Design Arena: SVG | Not measured | 1189 | Only GPT-5 measured |
| Design Arena: ASCII art | Not measured | 1140 | Only GPT-5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Gemini 2.5 Flash Lite | GPT-5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 30.8% | 43.7% | GPT-5 |
| MedScribe (Vals AI) | 75.8% | 83.7% | GPT-5 |
| IFBench | 49.9% | 73.1% | GPT-5 |
| Long context reasoning (AA-LCR) | 55.7% | 78.2% | GPT-5 |
| DTBench | 62.8% | 90.7% | GPT-5 |
| LMCA | 18.1% | 40.0% | GPT-5 |
| Fiction.LiveBench | Not measured | 97.2% | Only GPT-5 measured |
| Creative writing (Lech Mazur) | Not measured | 86.0% | Only GPT-5 measured |
| LMArena Text | Not measured | 1406 | Only GPT-5 measured |
| LMArena Text: instruction following | Not measured | 1388 | Only GPT-5 measured |
| LMArena Text: creative writing | Not measured | 1365 | Only GPT-5 measured |
| LMArena Vision | Not measured | 1232 | Only GPT-5 measured |
| LMArena Text: English | Not measured | 1409 | Only GPT-5 measured |
| LMArena Text: non-English | Not measured | 1397 | Only GPT-5 measured |
| LMArena Text: Chinese | Not measured | 1422 | Only GPT-5 measured |
| LMArena Text: German | Not measured | 1416 | Only GPT-5 measured |
| LMArena Text: Japanese | Not measured | 1409 | Only GPT-5 measured |
| LMArena Text: Korean | Not measured | 1360 | Only GPT-5 measured |
| LMArena Text: French | Not measured | 1409 | Only GPT-5 measured |
| LMArena Text: Spanish | Not measured | 1399 | Only GPT-5 measured |
| LMArena Text: Russian | Not measured | 1407 | Only GPT-5 measured |
| LMArena Text: Polish | Not measured | 1431 | Only GPT-5 measured |
| LMArena Text: multi-turn | Not measured | 1426 | Only GPT-5 measured |
| LMArena Text: longer queries | Not measured | 1399 | Only GPT-5 measured |
| LMArena Text: writing and language | Not measured | 1384 | Only GPT-5 measured |
| LMArena Text: entertainment and media | Not measured | 1379 | Only GPT-5 measured |
| LMArena Vision: English | Not measured | 1231 | Only GPT-5 measured |
| LMArena Vision: Chinese | Not measured | 1267 | Only GPT-5 measured |
| LMArena Vision: reading text | Not measured | 1246 | Only GPT-5 measured |
| LMArena Vision: humor | Not measured | 1219 | Only GPT-5 measured |
| LMArena Vision: captioning | Not measured | 1212 | Only GPT-5 measured |
| LMArena Vision: recognizing things | Not measured | 1263 | Only GPT-5 measured |
| LMArena Vision: creative writing | Not measured | 1210 | Only GPT-5 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 2.5 Flash Lite | GPT-5 | 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 2.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash Lite 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 Lite | OpenAI GPT-5 |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | July 22, 2025 | August 7, 2025 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $0.10 | $1.25 |
| Output $/Mtok | $0.40 | $10.00 |
| Coding index | Not benchmarked | 38.8 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | $0.39 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash Lite better than GPT-5 for coding?
Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Gemini 2.5 Flash Lite has none, so the two cannot be ranked on coding. Gemini 2.5 Flash Lite has the edge where output tokens cost 25.0x less, and where the context window is larger, 1.05M against 400K tokens.
Which is cheaper, Gemini 2.5 Flash Lite or GPT-5?
Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; GPT-5 costs $1.25 and $10.00. Cost per solved task is known for GPT-5 only.
Which has the bigger context window, Gemini 2.5 Flash Lite or GPT-5?
Gemini 2.5 Flash Lite, with 1.05M tokens against 400K.
How many benchmarks is the Gemini 2.5 Flash Lite vs GPT-5 comparison based on?
28 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and GPT-5's on 3. Where only one model has a result, the page says so instead of naming a winner.