Gemini 3.5 Flash Lite vs GPT-6 Luna
Updated October 21, 2026. 69 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick GPT-6 Luna for coding: it scores 71.4 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite.
Pick Gemini 3.5 Flash Lite when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 69
- Gemini 3.5 Flash Lite only
- 14
- GPT-6 Luna only
- 33
- 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, four public coding benchmarks
GPT-6 Luna
GPT-6 Luna scores 71.4 against 33.6.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6 Luna
GPT-6 Luna leads, 38.1 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.5 Flash Lite has a AA Agentic Index result, 14.3.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash Lite has a GPQA Diamond result, 83.8%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.5 Flash Lite has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-6 Luna has a Design Arena: websites result, 1272.
Directional only
General
Vals Index
No call
Only GPT-6 Luna has a Vals Index result, 52.3%.
Directional only
Long documents
Listed context window
GPT-6 Luna
GPT-6 Luna takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-6 Luna
Gemini 3.5 Flash Lite $0.0015, GPT-6 Luna $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.5 Flash Lite has the number, $0.41.
Directional only
At a glance
- Coding index
- Gemini 3.5 Flash Lite 33.6 from 1 benchmark, GPT-6 Luna 71.4 from 2 benchmarks.
- Widest category
- Math, 32.2 points apart on average over 6 shared benchmarks.
- Widest single gap
- FrontierMath, tier 4: Gemini 3.5 Flash Lite 0.0% against GPT-6 Luna 56.1%, 56.1 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash Lite $2.50 against GPT-6 Luna $0.50 per million output tokens, 5.0x apart.
- Context window
- Gemini 3.5 Flash Lite takes 1.05M tokens, GPT-6 Luna 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 3.5 Flash Lite | Bars | GPT-6 Luna | Ties |
|---|---|---|---|---|
| Coding | 2 | 10 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 5 | ||
| Reasoning | 5 | 6 | ||
| Math | 2 | 4 | ||
| Knowledge | 4 | 1 | ||
| General | 22 | 6 | ||
| All shared boards | 35 | 34 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index210
| Benchmark | Gemini 3.5 Flash Lite | GPT-6 Luna | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 84.5% | Only GPT-6 Luna measured |
| LMArena WebDev | 1435 | 1578 | GPT-6 Luna |
| AA Coding Index | 49.3 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LiveCodeBench (Vals AI) | 79.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SWE-bench Verified (Vals AI) | 75.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 13.6% | Only GPT-6 Luna measured |
| Vibe Code Bench (Vals AI) | 37.2% | 81.7% | GPT-6 Luna |
| Code migration (Vals AI) | 6.2% | 42.5% | GPT-6 Luna |
| ProgramBench (Vals AI) | 0.0% | 0.5% | GPT-6 Luna |
| IOI (Vals AI) | Not measured | 55.6% | Only GPT-6 Luna measured |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | 73.0% | GPT-6 Luna |
| SWE-bench Multimodal (Vals AI) | Not measured | 37.5% | Only GPT-6 Luna measured |
| CyberBench (Vals AI) | 59.1% | 76.3% | GPT-6 Luna |
| SciCode | 41.3% | 54.6% | GPT-6 Luna |
| FrontierCode | Not measured | 42.4% | Only GPT-6 Luna measured |
| WeirdML | 39.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ALE-Bench | 765.3 | 1576.9 | GPT-6 Luna |
| LMArena Text: coding | 1453 | 1437 | Gemini 3.5 Flash Lite |
| LMArena Text: software and IT | 1451 | 1423 | Gemini 3.5 Flash Lite |
| LMArena WebDev: React | 1408 | 1573 | GPT-6 Luna |
| LMArena WebDev: HTML | Not measured | 1595 | Only GPT-6 Luna measured |
| LMArena WebDev: from an image | 1448 | 1571 | GPT-6 Luna |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.5 Flash Lite | GPT-6 Luna | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.2 | 38.1 | GPT-6 Luna |
| Epoch Capabilities Index | 144.9 | 156.8 | GPT-6 Luna |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemini 3.5 Flash Lite | GPT-6 Luna | Leader |
|---|---|---|---|
| AA Agentic Index | 14.3 | Not measured | Only Gemini 3.5 Flash Lite measured |
| Design Arena: agents building web apps | Not measured | 1189 | Only GPT-6 Luna measured |
| Design Arena: agents building full-stack apps | Not measured | 1158 | Only GPT-6 Luna measured |
| Design Arena: agents building mobile apps | Not measured | 1133 | Only GPT-6 Luna measured |
| LiveBench research | Not measured | 43.5% | Only GPT-6 Luna measured |
| LiveBench browser | Not measured | 72.0% | Only GPT-6 Luna measured |
| LiveBench long agentic | Not measured | 48.1% | Only GPT-6 Luna measured |
| SREBench (Vals AI) | Not measured | 2.7% | Only GPT-6 Luna measured |
| Finance Agent (Vals AI) | 47.4% | 49.9% | GPT-6 Luna |
| Tax Agent Bench (Vals AI) | 7.2% | 19.9% | GPT-6 Luna |
| Legal Research Bench (Vals AI) | 13.9% | 30.3% | GPT-6 Luna |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 4.2% | Only GPT-6 Luna measured |
| Excel Modeling Benchmark (Vals AI) | 43.2% | 68.5% | GPT-6 Luna |
| BioMysteryBench (Vals AI) | Not measured | 61.5% | Only GPT-6 Luna measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only GPT-6 Luna measured |
| Vals Science Index | Not measured | 28.4% | Only GPT-6 Luna measured |
| APEX-Agents | 29.3% | 44.3% | GPT-6 Luna |
| SpireClimb | Not measured | 0.0% | Only GPT-6 Luna measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index56
| Benchmark | Gemini 3.5 Flash Lite | GPT-6 Luna | Leader |
|---|---|---|---|
| GPQA Diamond | 83.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LiveBench reasoning | Not measured | 81.8% | Only GPT-6 Luna measured |
| MysteryMechanism (Vals AI) | Not measured | 19.4% | Only GPT-6 Luna measured |
| MMMU Pro (Vals AI) | 83.6% | Not measured | Only Gemini 3.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 83.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Humanity's Last Exam (Artificial Analysis run) | 18.8% | 38.5% | GPT-6 Luna |
| GPQA Diamond (Epoch AI run) | 83.3% | 90.5% | GPT-6 Luna |
| ARC-AGI | 53.5% | 86.7% | GPT-6 Luna |
| ARC-AGI-2 | 10.3% | 59.3% | GPT-6 Luna |
| Chess puzzles | 21.0% | 36.0% | GPT-6 Luna |
| Mystery game puzzles | 19.0% | 7.0% | Gemini 3.5 Flash Lite |
| LMArena Text: hard prompts | 1441 | 1410 | Gemini 3.5 Flash Lite |
| LMArena Text: expert | 1434 | 1442 | GPT-6 Luna |
| LMArena Text: hard prompts in English | 1440 | 1410 | Gemini 3.5 Flash Lite |
| LMArena Vision: diagrams | 1284 | 1245 | Gemini 3.5 Flash Lite |
| LMArena Vision: homework | 1291 | 1261 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Gemini 3.5 Flash Lite | GPT-6 Luna | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | 98.9% | GPT-6 Luna |
| FrontierMath, tiers 1 to 3 | 26.0% | 78.9% | GPT-6 Luna |
| FrontierMath, tier 4 | 0.0% | 56.1% | GPT-6 Luna |
| ProofBench | 13.0% | 64.0% | GPT-6 Luna |
| LMArena Text: math | 1434 | 1409 | Gemini 3.5 Flash Lite |
| LMArena Text: mathematical work | 1433 | 1427 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Gemini 3.5 Flash Lite | GPT-6 Luna | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LegalBench (Vals AI) | 84.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| CorpFin (Vals AI) | 60.7% | Not measured | Only Gemini 3.5 Flash Lite measured |
| TaxEval (Vals AI) | 72.6% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MedCode (Vals AI) | 43.5% | 44.7% | GPT-6 Luna |
| SimpleQA Verified | Not measured | 41.4% | Only GPT-6 Luna measured |
| LMArena Text: science | 1451 | 1386 | Gemini 3.5 Flash Lite |
| LMArena Text: medicine and healthcare | 1438 | 1352 | Gemini 3.5 Flash Lite |
| LMArena Text: legal and government | 1431 | 1400 | Gemini 3.5 Flash Lite |
| LMArena Text: business and finance | 1423 | 1388 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | GPT-6 Luna | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1272 | Only GPT-6 Luna measured |
| Design Arena: UI components | Not measured | 1297 | Only GPT-6 Luna measured |
| Design Arena: game dev | Not measured | 1259 | Only GPT-6 Luna measured |
| Design Arena: data viz | Not measured | 1215 | Only GPT-6 Luna measured |
| Design Arena: 3D | Not measured | 1217 | Only GPT-6 Luna measured |
| Design Arena: all code categories | Not measured | 1271 | Only GPT-6 Luna measured |
| Design Arena: SVG | Not measured | 1253 | Only GPT-6 Luna measured |
| Design Arena: ASCII art | Not measured | 1156 | Only GPT-6 Luna measured |
| LiveBench design | Not measured | 82.5% | Only GPT-6 Luna measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index226
| Benchmark | Gemini 3.5 Flash Lite | GPT-6 Luna | Leader |
|---|---|---|---|
| Vals Index | Not measured | 52.3% | Only GPT-6 Luna measured |
| LiveBench data analysis | Not measured | 73.4% | Only GPT-6 Luna measured |
| Public Benefits Bench (Vals AI) | 51.8% | 57.6% | GPT-6 Luna |
| SAGE (Vals AI) | 47.3% | 48.1% | GPT-6 Luna |
| MedScribe (Vals AI) | 70.9% | 83.7% | GPT-6 Luna |
| Long context reasoning (AA-LCR) | 76.0% | 83.3% | GPT-6 Luna |
| DTBench | 83.5% | 90.1% | GPT-6 Luna |
| LMCA | 37.6% | 44.5% | GPT-6 Luna |
| Furniture assembly | Not measured | 44.2% | Only GPT-6 Luna measured |
| LMArena Text | 1435 | 1389 | Gemini 3.5 Flash Lite |
| LMArena Text: instruction following | 1419 | 1408 | Gemini 3.5 Flash Lite |
| LMArena Text: creative writing | 1421 | 1363 | Gemini 3.5 Flash Lite |
| LMArena Vision | 1269 | 1216 | Gemini 3.5 Flash Lite |
| LMArena Text: English | 1438 | 1393 | Gemini 3.5 Flash Lite |
| LMArena Text: non-English | 1427 | 1381 | Gemini 3.5 Flash Lite |
| LMArena Text: Chinese | 1468 | 1427 | Gemini 3.5 Flash Lite |
| LMArena Text: German | 1454 | 1376 | Gemini 3.5 Flash Lite |
| LMArena Text: Japanese | 1426 | 1369 | Gemini 3.5 Flash Lite |
| LMArena Text: Korean | 1407 | 1359 | Gemini 3.5 Flash Lite |
| LMArena Text: French | 1451 | 1408 | Gemini 3.5 Flash Lite |
| LMArena Text: Spanish | 1441 | 1391 | Gemini 3.5 Flash Lite |
| LMArena Text: Russian | 1443 | 1392 | Gemini 3.5 Flash Lite |
| LMArena Text: Polish | 1437 | 1383 | Gemini 3.5 Flash Lite |
| LMArena Text: multi-turn | 1445 | 1392 | Gemini 3.5 Flash Lite |
| LMArena Text: longer queries | 1435 | 1408 | Gemini 3.5 Flash Lite |
| LMArena Text: writing and language | 1428 | 1384 | Gemini 3.5 Flash Lite |
| LMArena Text: entertainment and media | 1414 | 1364 | Gemini 3.5 Flash Lite |
| LMArena Vision: English | 1269 | 1204 | Gemini 3.5 Flash Lite |
| LMArena Vision: Chinese | 1311 | 1266 | Gemini 3.5 Flash Lite |
| LMArena Vision: reading text | 1280 | 1225 | Gemini 3.5 Flash Lite |
| LMArena Vision: humor | 1287 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: creative writing | 1260 | 1205 | Gemini 3.5 Flash Lite |
| 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 3.5 Flash Lite | GPT-6 Luna | 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-6 Luna costs less
Repository review
50K input + 3K output tokens
GPT-6 Luna costs less
Agent loop
200K input + 10K output tokens
GPT-6 Luna 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 3.5 Flash Lite | OpenAI GPT-6 Luna |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | July 21, 2026 | September 22, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $0.10 |
| Output $/Mtok | $2.50 | $0.50 |
| Coding index | 33.6 | 71.4 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.41 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash Lite better than GPT-6 Luna for coding?
Pick GPT-6 Luna for coding: it scores 71.4 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite when what matters is LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Gemini 3.5 Flash Lite or GPT-6 Luna?
Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; GPT-6 Luna costs $0.10 and $0.50. Cost per solved task is known for Gemini 3.5 Flash Lite only.
Which has the bigger context window, Gemini 3.5 Flash Lite or GPT-6 Luna?
GPT-6 Luna, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.5 Flash Lite vs GPT-6 Luna comparison based on?
69 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 1 independent benchmark and GPT-6 Luna's on 2. Where only one model has a result, the page says so instead of naming a winner.