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 North Mini Code.
Choose Gemini 3.5 Flash-Lite for very long inputs, the hardest reasoning tasks, reasoning over long documents, images as input and the latest release; on the other points the two are level or the data is missing.
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 North Mini Code.
Choose Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite scores 22.2 on the Artificial Analysis Intelligence Index, against 9.9 for North Mini Code.
Choose Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite scores 76% on Long-context reasoning (AA-LCR), against 37.3% for North Mini Code.
Choose Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite accepts images as input; North Mini Code does not.
Choose Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is the newer release (July 2026, against Jun 9, 2026 for North Mini Code).
| Gemini 3.5 Flash-Lite | North Mini Code | |
|---|---|---|
| Provider | Cohere | |
| 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 | 64k |
| Released | July 2026 | Jun 9, 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 | north-mini-code-1-0 |
Leader in bold.
| Benchmark | Gemini 3.5 Flash-Lite | North Mini Code |
|---|---|---|
| Intelligence Index | 22.2 | 9.9 |
| SciCode | 41.3% | 38.8% |
| GPQA Diamond | 83.8% | 75.7% |
| Humanity's Last Exam | 18.8% | 11.1% |
| Long-context reasoning (AA-LCR) | 76% | 37.3% |
| MMMU-Pro (visual reasoning) | 79% | No data |
| Terminal-Bench Hard | No data | 31.1% |
| IFBench (instruction following) | No data | 57.6% |
| τ²-Bench (agentic tool use) | No data | 37.4% |
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, the hardest reasoning tasks, reasoning over long documents, images as input and the latest release; on the other points the two are level or the data is missing.
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 North Mini Code by Cohere. 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 9, 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 North Mini Code on Jun 9, 2026.