Model comparison
Gemini 2.5 Flash-Lite vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 23× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and GPT-6 Sol in 10 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 49.3 to 21.5.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 1.05M.
Side by side
| Gemini 2.5 Flash-Lite | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 36.4 | 49.2 |
| Released | 2025-06-17 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 66K | 128K |
| Input $ / M tokens | $0.10 | $2 |
| Output $ / M tokens | $0.40 | $10 |
| Results tracked | 33 | 22 |
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Category by category
Coding GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 38.0 (#167), GPT-6 Sol: 59.6 (#11)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| LMArena Coding | 1373 | 1453 |
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| WeirdML | 35.2% | — |
| ALE-Bench | 325.9 | — |
Agentic & Tool Use GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 27.8 (#89), GPT-6 Sol: 33.5 (#49)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| Berkeley Function Calling Leaderboard | 36.9% | — |
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 21.5 (#196), GPT-6 Sol: 49.3 (#34)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| LMArena Hard Prompts | 1377 | 1420 |
| Kagi LLM Benchmark | 40.5% | — |
| NYT Connections (extended) | — | 90.1% |
| EBR-Bench | — | 53.3% |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Epoch Capabilities Index | 133.93 | — |
Math Too close to call
Gemini 2.5 Flash-Lite: 35.5 (#144), GPT-6 Sol: 35.8 (#135)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| LMArena Math | 1373 | 1404 |
| Omni-MATH | 48% | — |
Knowledge GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 32.1 (#206), GPT-6 Sol: 43.0 (#87)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| Vectara Hallucination Rate | 3.3% | 6.5% |
| LMArena Expert | 1373 | 1449 |
| MMLU-Pro | 53.7% | — |
| GPQA (HELM) | 30.9% | — |
Multimodal GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 28.6 (#109), GPT-6 Sol: 47.6 (#9)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
| Furniture Assembly | — | 58.3% |
Multilingual GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 49.5 (#129), GPT-6 Sol: 51.0 (#113)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1369 | 1389 |
| LMArena Chinese | 1404 | 1416 |
| LMArena Russian | 1373 | 1407 |
| LMArena Spanish | 1396 | 1377 |
| LMArena French | 1388 | — |
| LMArena German | 1390 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1358 | — |
Instruction Following GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 70.2 (#163), GPT-6 Sol: 74.4 (#97)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1366 | 1406 |
| IFEval | 81% | — |
Long Context GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 33.3 (#257), GPT-6 Sol: 43.2 (#100)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1373 | 1415 |
| Fiction.LiveBench | 47.2% | — |
Writing & Preference GPT-6 Sol leads
Gemini 2.5 Flash-Lite: 57.0 (#130), GPT-6 Sol: 72.3 (#15)
| Benchmark | Gemini 2.5 Flash-Lite | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1379 | 1396 |
| LMArena Creative Writing | 1366 | 1392 |
| LMArena Multi-Turn | 1367 | 1405 |
| EQ-Bench Creative Writing | — | 2125 |
| WildBench | 81.8% | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 23× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or GPT-6 Sol?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; GPT-6 Sol lists at $2 and $10.
Is Gemini 2.5 Flash-Lite or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 38.0 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 1.05M.
How many benchmarks do Gemini 2.5 Flash-Lite and GPT-6 Sol share?
14 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and GPT-6 Sol has 22.