Gemini 3.1 Flash Lite Preview vs GPT-5.6 Luna
Updated October 21, 2026. 72 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-5.6 Luna for coding: it scores 61.5 on the Vibe Coding Index against 8.1 for Gemini 3.1 Flash Lite Preview.
Pick Gemini 3.1 Flash Lite Preview when what matters is MMLU Pro or MortgageTax (Vals AI), where it leads.
- Shared results
- 72
- Gemini 3.1 Flash Lite Preview only
- 5
- GPT-5.6 Luna only
- 44
- Like-for-like categories
- 8 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-5.6 Luna
GPT-5.6 Luna scores 61.5 against 8.1.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-5.6 Luna
GPT-5.6 Luna leads, 37.3 against 15.6.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.6 Luna
GPT-5.6 Luna leads, 42.1 against 1.6.
Same board, both measured
Reasoning
GPQA Diamond
GPT-5.6 Luna
GPT-5.6 Luna leads, 91.7% against 81.1%.
Same board, both measured
Math
AIME
No call
Only Gemini 3.1 Flash Lite Preview has a AIME result, 83.3%.
Directional only
Knowledge
MMLU Pro
Gemini 3.1 Flash Lite Preview
Gemini 3.1 Flash Lite Preview leads, 86.2% against 86.0%.
Same board, both measured
Web design
Design Arena: websites
GPT-5.6 Luna
GPT-5.6 Luna leads, 1256 against 1083.
Same board, both measured
Long documents
Listed context window
GPT-5.6 Luna
GPT-5.6 Luna takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.6 Luna
Gemini 3.1 Flash Lite Preview $0.0010, GPT-5.6 Luna $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5.6 Luna
Gemini 3.1 Flash Lite Preview $0.18, GPT-5.6 Luna $0.04.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.1 Flash Lite Preview 8.1 from 1 benchmark, GPT-5.6 Luna 61.5 from 2 benchmarks.
- Widest category
- Agentic work, 35.8 points apart on average over 5 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 3.1 Flash Lite Preview 0.0% against GPT-5.6 Luna 77.1%, 77.1 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Flash Lite Preview $1.50 against GPT-5.6 Luna $1.20 per million output tokens, 1.3x apart.
- Context window
- Gemini 3.1 Flash Lite Preview takes 1.05M tokens, GPT-5.6 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 3.1 Flash Lite Preview | Bars | GPT-5.6 Luna | Ties |
|---|---|---|---|---|
| Coding | 0 | 12 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 5 | ||
| Reasoning | 0 | 7 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 6 | ||
| Web design | 1 | 7 | ||
| General | 4 | 22 | ||
| All shared boards | 9 | 62 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 Luna | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 73.6% | Only GPT-5.6 Luna measured |
| LMArena WebDev | 1257 | 1518 | GPT-5.6 Luna |
| AA Coding Index | 34.7 | 71.4 | GPT-5.6 Luna |
| LiveCodeBench (Vals AI) | 80.1% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| SWE-bench Verified (Vals AI) | 62.8% | 93.0% | GPT-5.6 Luna |
| Terminal-Bench 4 (Vals AI) | Not measured | 11.6% | Only GPT-5.6 Luna measured |
| Vibe Code Bench (Vals AI) | 0.0% | 77.1% | GPT-5.6 Luna |
| Code migration (Vals AI) | 4.6% | 44.5% | GPT-5.6 Luna |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | Not measured | 61.8% | Only GPT-5.6 Luna measured |
| Terminal-Bench 2.1 (Vals AI) | 34.1% | 79.0% | GPT-5.6 Luna |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 22.6% | Only GPT-5.6 Luna measured |
| SkillsBench (Vals AI) | Not measured | 60.5% | Only GPT-5.6 Luna measured |
| CyberBench (Vals AI) | Not measured | 73.6% | Only GPT-5.6 Luna measured |
| SciCode | Not measured | 53.6% | Only GPT-5.6 Luna measured |
| FrontierCode | Not measured | 39.8% | Only GPT-5.6 Luna measured |
| WeirdML | Not measured | 60.9% | Only GPT-5.6 Luna measured |
| ALE-Bench | 797.7 | 1667.4 | GPT-5.6 Luna |
| LMArena Text: coding | 1400 | 1466 | GPT-5.6 Luna |
| LMArena Text: software and IT | 1413 | 1463 | GPT-5.6 Luna |
| LMArena WebDev: React | 1245 | 1508 | GPT-5.6 Luna |
| LMArena WebDev: HTML | 1276 | 1520 | GPT-5.6 Luna |
| LMArena WebDev: from an image | 1336 | 1517 | GPT-5.6 Luna |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 Luna | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.6 | 37.3 | GPT-5.6 Luna |
| Epoch Capabilities Index | Not measured | 156.5 | Only GPT-5.6 Luna measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 Luna | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | 42.1 | GPT-5.6 Luna |
| LiveBench research | Not measured | 51.0% | Only GPT-5.6 Luna measured |
| LiveBench browser | Not measured | 68.0% | Only GPT-5.6 Luna measured |
| LiveBench long agentic | Not measured | 30.4% | Only GPT-5.6 Luna measured |
| SREBench (Vals AI) | Not measured | 1.5% | Only GPT-5.6 Luna measured |
| Finance Agent (Vals AI) | 30.0% | 55.0% | GPT-5.6 Luna |
| Tax Agent Bench (Vals AI) | 3.1% | 24.8% | GPT-5.6 Luna |
| Legal Research Bench (Vals AI) | 3.4% | 36.5% | GPT-5.6 Luna |
| Excel Modeling Benchmark (Vals AI) | 8.6% | 67.1% | GPT-5.6 Luna |
| BioMysteryBench (Vals AI) | Not measured | 61.5% | Only GPT-5.6 Luna measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 0.0% | Only GPT-5.6 Luna measured |
| Vals Science Index | Not measured | 25.3% | Only GPT-5.6 Luna measured |
| APEX-Agents | Not measured | 43.0% | Only GPT-5.6 Luna measured |
| BALROG | Not measured | 45.6% | Only GPT-5.6 Luna measured |
| Vending-Bench 2 | Not measured | $4,095 | Only GPT-5.6 Luna measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 Luna | Leader |
|---|---|---|---|
| GPQA Diamond | 81.1% | 91.7% | GPT-5.6 Luna |
| LiveBench reasoning | Not measured | 85.6% | Only GPT-5.6 Luna measured |
| MysteryMechanism (Vals AI) | Not measured | 14.4% | Only GPT-5.6 Luna measured |
| MMMU Pro (Vals AI) | 82.5% | 85.0% | GPT-5.6 Luna |
| GPQA Diamond (Artificial Analysis run) | Not measured | 91.1% | Only GPT-5.6 Luna measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 39.5% | Only GPT-5.6 Luna measured |
| GPQA Diamond (Epoch AI run) | Not measured | 91.6% | Only GPT-5.6 Luna measured |
| ARC-AGI | Not measured | 88.0% | Only GPT-5.6 Luna measured |
| ARC-AGI-2 | Not measured | 59.5% | Only GPT-5.6 Luna measured |
| SimpleBench | Not measured | 46.8% | Only GPT-5.6 Luna measured |
| Chess puzzles | Not measured | 43.0% | Only GPT-5.6 Luna measured |
| Mystery game puzzles | Not measured | 21.0% | Only GPT-5.6 Luna measured |
| LMArena Text: hard prompts | 1407 | 1451 | GPT-5.6 Luna |
| LMArena Text: expert | 1398 | 1478 | GPT-5.6 Luna |
| LMArena Text: hard prompts in English | 1403 | 1460 | GPT-5.6 Luna |
| LMArena Vision: diagrams | 1242 | 1273 | GPT-5.6 Luna |
| LMArena Vision: homework | 1271 | 1282 | GPT-5.6 Luna |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 Luna | Leader |
|---|---|---|---|
| AIME | 83.3% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| OTIS Mock AIME | Not measured | 98.3% | Only GPT-5.6 Luna measured |
| FrontierMath, tiers 1 to 3 | Not measured | 82.1% | Only GPT-5.6 Luna measured |
| FrontierMath, tier 4 | Not measured | 61.0% | Only GPT-5.6 Luna measured |
| ProofBench | Not measured | 60.0% | Only GPT-5.6 Luna measured |
| LMArena Text: math | 1428 | 1459 | GPT-5.6 Luna |
| LMArena Text: mathematical work | 1417 | 1470 | GPT-5.6 Luna |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index46
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 Luna | Leader |
|---|---|---|---|
| MMLU Pro | 86.2% | 86.0% | Gemini 3.1 Flash Lite Preview |
| LegalBench (Vals AI) | 83.8% | 84.0% | GPT-5.6 Luna |
| CaseLaw (Vals AI) | 55.0% | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| CorpFin (Vals AI) | 59.4% | 64.2% | GPT-5.6 Luna |
| TaxEval (Vals AI) | 71.8% | 76.2% | GPT-5.6 Luna |
| MortgageTax (Vals AI) | 68.0% | 67.3% | Gemini 3.1 Flash Lite Preview |
| MedCode (Vals AI) | 47.6% | 42.4% | Gemini 3.1 Flash Lite Preview |
| SimpleQA Verified | Not measured | 41.0% | Only GPT-5.6 Luna measured |
| LMArena Text: science | 1425 | 1433 | GPT-5.6 Luna |
| LMArena Text: medicine and healthcare | 1428 | 1399 | Gemini 3.1 Flash Lite Preview |
| LMArena Text: legal and government | 1418 | 1446 | GPT-5.6 Luna |
| LMArena Text: business and finance | 1389 | 1439 | GPT-5.6 Luna |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 Luna | Leader |
|---|---|---|---|
| Design Arena: websites | 1083 | 1256 | GPT-5.6 Luna |
| Design Arena: UI components | 1071 | 1250 | GPT-5.6 Luna |
| Design Arena: game dev | 1029 | 1196 | GPT-5.6 Luna |
| Design Arena: data viz | 1045 | 1212 | GPT-5.6 Luna |
| Design Arena: 3D | 1048 | 1121 | GPT-5.6 Luna |
| Design Arena: all code categories | 1072 | 1231 | GPT-5.6 Luna |
| Design Arena: SVG | 1052 | 1193 | GPT-5.6 Luna |
| Design Arena: ASCII art | 1166 | 1144 | Gemini 3.1 Flash Lite Preview |
| LiveBench design | Not measured | 76.0% | Only GPT-5.6 Luna measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index422
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 Luna | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 78.0% | Only GPT-5.6 Luna measured |
| Public Benefits Bench (Vals AI) | Not measured | 61.2% | Only GPT-5.6 Luna measured |
| SAGE (Vals AI) | 49.5% | 44.2% | Gemini 3.1 Flash Lite Preview |
| MedScribe (Vals AI) | 63.9% | 84.4% | GPT-5.6 Luna |
| Vals Multimodal Index | 41.4% | 69.1% | GPT-5.6 Luna |
| Long context reasoning (AA-LCR) | Not measured | 83.7% | Only GPT-5.6 Luna measured |
| DTBench | Not measured | 89.1% | Only GPT-5.6 Luna measured |
| LMCA | Not measured | 48.5% | Only GPT-5.6 Luna measured |
| Surface Evolver Bench | Not measured | 61.9% | Only GPT-5.6 Luna measured |
| Furniture assembly | Not measured | 42.5% | Only GPT-5.6 Luna measured |
| LMArena Text | 1416 | 1431 | GPT-5.6 Luna |
| LMArena Text: instruction following | 1377 | 1437 | GPT-5.6 Luna |
| LMArena Text: creative writing | 1401 | 1396 | Gemini 3.1 Flash Lite Preview |
| LMArena Vision | 1240 | 1257 | GPT-5.6 Luna |
| LMArena Text: English | 1414 | 1441 | GPT-5.6 Luna |
| LMArena Text: non-English | 1410 | 1417 | GPT-5.6 Luna |
| LMArena Text: Chinese | 1460 | 1470 | GPT-5.6 Luna |
| LMArena Text: German | 1430 | 1455 | GPT-5.6 Luna |
| LMArena Text: Japanese | 1413 | 1415 | GPT-5.6 Luna |
| LMArena Text: Korean | 1392 | 1415 | GPT-5.6 Luna |
| LMArena Text: French | 1424 | 1458 | GPT-5.6 Luna |
| LMArena Text: Spanish | 1421 | 1446 | GPT-5.6 Luna |
| LMArena Text: Russian | 1420 | 1427 | GPT-5.6 Luna |
| LMArena Text: Polish | 1443 | 1405 | Gemini 3.1 Flash Lite Preview |
| LMArena Text: multi-turn | 1417 | 1434 | GPT-5.6 Luna |
| LMArena Text: longer queries | 1394 | 1436 | GPT-5.6 Luna |
| LMArena Text: writing and language | 1408 | 1419 | GPT-5.6 Luna |
| LMArena Text: entertainment and media | 1386 | 1402 | GPT-5.6 Luna |
| LMArena Vision: English | 1232 | 1263 | GPT-5.6 Luna |
| LMArena Vision: Chinese | 1278 | 1294 | GPT-5.6 Luna |
| LMArena Vision: reading text | 1246 | 1264 | GPT-5.6 Luna |
| LMArena Vision: humor | 1266 | 1190 | Gemini 3.1 Flash Lite Preview |
| LMArena Vision: captioning | 1259 | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| LMArena Vision: recognizing things | 1308 | Not measured | Only Gemini 3.1 Flash Lite Preview measured |
| LMArena Vision: creative writing | 1248 | 1257 | GPT-5.6 Luna |
| LMArena Document | Not measured | 1457 | Only GPT-5.6 Luna measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Flash Lite Preview | GPT-5.6 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-5.6 Luna costs less
Repository review
50K input + 3K output tokens
GPT-5.6 Luna costs less
Agent loop
200K input + 10K output tokens
GPT-5.6 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 3.1 Flash Lite Preview | OpenAI GPT-5.6 Luna |
|---|---|---|
| Maker | OpenAI | |
| Weights | No public weights listed | No public weights listed |
| Released | March 3, 2026 | July 9, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.25 | $0.20 |
| Output $/Mtok | $1.50 | $1.20 |
| Coding index | 8.1 | 61.5 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.18 | $0.04 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Flash Lite Preview better than GPT-5.6 Luna for coding?
Pick GPT-5.6 Luna for coding: it scores 61.5 on the Vibe Coding Index against 8.1 for Gemini 3.1 Flash Lite Preview. Pick Gemini 3.1 Flash Lite Preview when what matters is MMLU Pro or MortgageTax (Vals AI), where it leads.
Which is cheaper, Gemini 3.1 Flash Lite Preview or GPT-5.6 Luna?
Gemini 3.1 Flash Lite Preview costs $0.25 per million input tokens and $1.50 per million output tokens; GPT-5.6 Luna costs $0.20 and $1.20. Per solved SWE-bench Verified task, Gemini 3.1 Flash Lite Preview costs $0.18 and GPT-5.6 Luna $0.04.
Which has the bigger context window, Gemini 3.1 Flash Lite Preview or GPT-5.6 Luna?
GPT-5.6 Luna, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 3.1 Flash Lite Preview vs GPT-5.6 Luna comparison based on?
72 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Flash Lite Preview's coding index rests on 1 independent benchmark and GPT-5.6 Luna's on 2. Where only one model has a result, the page says so instead of naming a winner.