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Model comparison
Google's Gemini 2.5 Flash Lite against OpenAI's GPT-4.1 Mini: vendor list prices, limits, abilities and the Artificial Analysis indexes side by side - and what OpenSmartRoute does when both are available.
Gemini 2.5 Flash Lite lists at $0.175 per million tokens blended against $0.7 for GPT-4.1 Mini - 4.0x less.
Intelligence index 10 against 10: within a point of each other.
Gemini 2.5 Flash Lite reads 1.0M tokens at once, GPT-4.1 Mini 1.0M.
only Gemini 2.5 Flash Lite offers reasoning.
Gemini 2.5 Flash Lite was released about 3 months later.
Vendor list prices per million tokens and published limits; indexes are Artificial Analysis composites (0-100).
| Specification | Gemini 2.5 Flash Lite | GPT-4.1 Mini |
|---|---|---|
| Input price / 1M tokens | $0.10 | $0.40 |
| Output price / 1M tokens | $0.40 | $1.60 |
| Blended (3 in : 1 out) | $0.18 | $0.70 |
| Cached input / 1M | $0.01 | $0.10 |
| Context window | 1.0M | 1.0M |
| Max output | 66K | 33K |
| Input | text, image, file, audio, video | image, text, file |
| Output | text | text |
| Tool calls | ||
| Structured output | ||
| Reasoning | ||
| Open weights | ||
| Intelligence index | 10 | 10 |
| Coding index | - | 20 |
| Agentic index | - | - |
| Released | Jul 22, 2025 | Apr 14, 2025 |
| Available on this deployment |
List price times tokens for three typical workloads; your mix of input and output decides which model's pricing suits you.
| Workload | Gemini 2.5 Flash Lite | GPT-4.1 Mini | Difference |
|---|---|---|---|
| Support chat20M tokens in, 5M out a month - a help desk answering a few thousand conversations. | $4.00 | $16.00 | $12.00 less on Gemini 2.5 Flash Lite |
| Document summaries100M in, 5M out - long inputs, short answers. | $12.00 | $48.00 | $36.00 less on Gemini 2.5 Flash Lite |
| Coding assistant60M in, 20M out - a team's editor assistant, output-heavy. | $14.00 | $56.00 | $42.00 less on Gemini 2.5 Flash Lite |
The two measure the same on the intelligence index, so the router treats them as peers and lets price, observed latency and your outcomes decide: Gemini 2.5 Flash Lite wins on cost, and a few bad outcomes on either move the next requests to the other.
# targets.yaml - both models as routing targets (metadata.model links each to the catalogue entry)
targets:
- { id: gemini-2.5-flash-lite, kind: llm, metadata: { model: google/gemini-2.5-flash-lite } }
- { id: gpt-4.1-mini, kind: llm, metadata: { model: openai/gpt-4.1-mini } }
# rules.yaml - the cheaper model by default, the stronger one when the request is hard
rules:
- name: simple-requests-stay-cheap
when: { max_complexity: 0.45 }
prefer: [gemini-2.5-flash-lite]
weight: 0.8
- name: hard-requests-escalate
when: { min_complexity: 0.45 }
prefer: [gpt-4.1-mini]
weight: 0.8