Gemini 3.5 Flash-Lite vs GPT-6.1 Sol.
Verdict by category, tale of the tape, shared benchmarks only, and cost at three workloads — all from the tracked data.
Verdict by category
| Category | Gemini 3.5 Flash-Lite | GPT-6.1 Sol | Winner |
|---|---|---|---|
| League Score | 69.9 | 93.8 | GPT-6.1 Sol |
| Coding (SWE-bench %) | — | — | — |
| Reasoning (GPQA %) | — | — | — |
| Context (tokens) | 1000000 | 1050000 | GPT-6.1 Sol |
| Speed (tok/s) | — | — | — |
| Price (blended $/1M) | $0.85 | $4.00 | Gemini 3.5 Flash-Lite (cheaper) |
Tale of the tape
| Spec | Gemini 3.5 Flash-Lite | GPT-6.1 Sol |
|---|---|---|
| Maker | Google DeepMind | OpenAI |
| Released | Jul 21, 2026 | Sep 29, 2026 |
| League Score | 70 | 94 |
| Context | 1,000,000 tokens | 1,050,000 tokens |
| Max output | — | 128,000 |
| $/1M input | $0.30 | $2.00 |
| $/1M output | $2.50 | $10.00 |
| Weights | Closed | Closed |
| Speed | — | — |
Head-to-head benchmarks (shared only)
| Benchmark | Gemini 3.5 Flash-Lite | GPT-6.1 Sol |
|---|---|---|
| No shared benchmark measurements yet — shown as not measured, never interpolated. | ||
Cost at three workloads
| Workload | Gemini 3.5 Flash-Lite | GPT-6.1 Sol |
|---|---|---|
| Light — 1M in / 250K out | $0.93 | $4.50 |
| Standard — 10M in / 2.5M out | $9.25 | $45.00 |
| Long-context — 50M in / 5M out | $27.50 | $150.00 |
The pick
Pick Gemini 3.5 Flash-Lite if you want the lower running cost.
Pick GPT-6.1 Sol if you want the higher overall League Score; you need the bigger context window.
All figures from the model database — sources and dates on each model page. Cost your own workload or compare a different pair.
Frequently asked questions
Which is better overall, Gemini 3.5 Flash-Lite or GPT-6.1 Sol?
GPT-6.1 Sol leads on overall League Score, 94 to 70 — a gap of 24 points on a composite of sourced benchmarks. That is overall form, not every category: check the per-category verdicts before choosing.
Which is cheaper, Gemini 3.5 Flash-Lite or GPT-6.1 Sol?
Gemini 3.5 Flash-Lite is cheaper: $0.85 vs $4.00 blended per 1M tokens (3:1 input/output mix) — about 4.7x less per token.
Which has the bigger context window, Gemini 3.5 Flash-Lite or GPT-6.1 Sol?
GPT-6.1 Sol, with 1.1M of context against 1M for Gemini 3.5 Flash-Lite.
Are Gemini 3.5 Flash-Lite and GPT-6.1 Sol open source?
Gemini 3.5 Flash-Lite is closed weights — API access only; GPT-6.1 Sol is closed weights — API access only.