Very long inputs
Choose Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite reads up to 1.05M tokens per request, against 256k for Kimi K2.7 Code.
Choose Gemini 3.5 Flash-Lite for very long inputs, images as input and the latest release. Choose Kimi K2.7 Code for the hardest reasoning tasks and reasoning over long documents.
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Choose Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite reads up to 1.05M tokens per request, against 256k for Kimi K2.7 Code.
Choose Kimi K2.7 Code
Kimi K2.7 Code scores 25.8 on the Artificial Analysis Intelligence Index, against 22.2 for Gemini 3.5 Flash-Lite.
Choose Kimi K2.7 Code
Kimi K2.7 Code scores 79.3% on Long-context reasoning (AA-LCR), against 76% for Gemini 3.5 Flash-Lite.
Choose Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite accepts images as input; Kimi K2.7 Code does not.
Choose Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is the newer release (July 2026, against Jun 12, 2026 for Kimi K2.7 Code).
| Gemini 3.5 Flash-Lite | Kimi K2.7 Code | |
|---|---|---|
| Provider | Moonshot AI | |
| Category | Language models | Language models |
| Status | Generally available | Generally available |
| Headline price | $0.85 / 1M tokens | No data |
| Input | $0.30 / 1M tokens | No data |
| Output | $2.50 / 1M tokens | No data |
| Cached input | $0.03 / 1M tokens | No data |
| Context window | 1.05M | 256k |
| Max output | 66k | No data |
| Released | July 2026 | Jun 12, 2026 |
| Knowledge cutoff | No data | No data |
| Licence | Proprietary | Proprietary |
| Capabilities | Vision, Reasoning, Tool calling, Structured output, Prompt caching, Batch API | Tool calling |
| API model id | gemini-3.5-flash-lite | kimi-k2.7-code |
Leader in bold.
| Benchmark | Gemini 3.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| Intelligence Index | 22.2 | 25.8 |
| SciCode | 41.3% | 47.8% |
| GPQA Diamond | 83.8% | 89.6% |
| Humanity's Last Exam | 18.8% | 35% |
| Long-context reasoning (AA-LCR) | 76% | 79.3% |
| MMMU-Pro (visual reasoning) | 79% | No data |
| Terminal-Bench Hard | No data | 44.7% |
| IFBench (instruction following) | No data | 63.1% |
| τ²-Bench (agentic tool use) | No data | 90.1% |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index.
Choose Gemini 3.5 Flash-Lite for very long inputs, images as input and the latest release. Choose Kimi K2.7 Code for the hardest reasoning tasks and reasoning over long documents.
A price comparison is not possible: one of them has no comparable published price.
Gemini 3.5 Flash-Lite reads more per request: 1.05M tokens against 256k.
Gemini 3.5 Flash-Lite is made by Google and Kimi K2.7 Code by Moonshot AI. A price comparison is not possible: one of them has no comparable published price. Gemini 3.5 Flash-Lite reads more per request: 1.05M tokens against 256k. Gemini 3.5 Flash-Lite is the newer model (July 2026, against Jun 12, 2026). Only Gemini 3.5 Flash-Lite offers vision, reasoning, structured output, prompt caching, batch api.
Gemini 3.5 Flash-Lite was released on July 2026 and Kimi K2.7 Code on Jun 12, 2026.