Gemini 3.5 Flash Lite
TL;DR
PremiumUpgraded agentic capabilities at low cost — ideal for subagents in complex workflows.
Available on
Not on the Go plan ($1/mo, open-source models only).
Switch with
Pick Gemini 3.5 Flash Lite from the selector.
Intelligence Index
Not yet scored
Speed
—
tokens / sec
Input
$0.30
per M tokens
Output
$2.50
per M tokens
Gemini 3.5 Flash Lite in Command Code
Gemini 3.5 Flash Lite is Google's premium model — upgraded agentic capabilities, ideal for subagents. It runs in Command Code with a 1M-token context window, switchable any time with /model.
Gemini 3.5 Flash Lite has no published Intelligence Index yet — it renders as "not yet scored" rather than borrowing a number.
Gemini 3.5 Flash Lite specs at a glance
What Gemini 3.5 Flash Lite accepts, how much it can hold in context, and what you need to run it.
| Spec | Gemini 3.5 Flash Lite |
|---|---|
| Context window | 1M tokens |
| Input modalities | text + images |
| Reasoning | Yes — efforts: low, medium, high |
| Minimum plan | Pro |
Gemini 3.5 Flash Lite vs the Command Code lineup
Gemini 3.5 Flash Lite alongside its nearest real alternatives in the lineup — every price straight from the billing tables.
| Model | Intelligence | Coding | Speed | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|---|
| Claude Fable 5 | 59.9 | 76.5 | ~62 tok/s | $10.00 | $50.00 | $20 | 1M |
| GPT-5.6 Luna | 51.2 | 71.4 | ~234 tok/s | $1.00 | $6.00 | $2.25 | 1.1M |
| Muse Spark 1.1 | 50.6 | 71.3 | ~130 tok/s | $1.25 | $4.25 | $2 | 1M |
| GPT-5.4 Mini | 40 | 56.1 | ~171 tok/s | $0.75 | $4.50 | $1.6875 | 400K |
| Gemini 3.1 Flash Lite | 25 | 34.7 | ~300 tok/s | $0.25 | $1.50 | $0.5625 | 1M |
| Claude Haiku 4.5 | 23.7 | — | ~103 tok/s | $1.00 | $5.00 | $2 | 200K |
| Gemini 3.5 Flash Lite (this page) | — | — | — | $0.30 | $2.50 | $0.85 | 1M |
What Gemini 3.5 Flash Lite is best for
Gemini 3.5 Flash Lite earns its slot in the lineup for fast lookups and quick edits, long agent loops.
- Fast lookups and quick edits — pick Gemini 3.5 Flash Lite from /model and it applies to the session.
- Long agent loops — pick Gemini 3.5 Flash Lite from /model and it applies to the session.
When to switch away from Gemini 3.5 Flash Lite
No single model wins every task. These are Gemini 3.5 Flash Lite's computed nearest alternatives — one step up, one step down in cost, one for speed, one from the same family — each switchable mid-session with /model.
Switch to MiniMax M3
MiniMax M3 runs about 54% cheaper blended ($0.3938 versus $0.85 per million tokens) while scoring 44.4 on the Intelligence Index. Switch down for high-volume work where Gemini 3.5 Flash Lite's edge isn't earning its rate.
Switch to Nemotron 3 Ultra
Nemotron 3 Ultra streams ~204 tokens/sec at a comparable blended cost ($1.05 per million tokens). Use it when iteration speed matters more than squeezing out the last point of quality.
Switch to Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite is the nearest Google sibling — same house style, lower price point ($0.5625 versus $0.85 blended per million tokens). The natural swap when you want to stay in the family.
What you pay for Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite is billed per token at the rates below — the same billing tables the Usage page charges against, so this page cannot quote a different price than you pay.
Blended cost (3:1 input:output, the shape of a typical coding session) works out to $0.85 per million tokens.
| Per 1M tokens | Input | Output | Cache read |
|---|---|---|---|
| All requests | $0.30 | $2.50 | $0.03 |
In Command Code: caching and taste-1
Two things change the experience of using this model inside Command Code versus calling it directly through the upstream API.
First, prompt caching is on by default. In an agent loop the same context is read across many steps; cache reads are billed at $0.03 per million tokens versus $0.30 for fresh input.
Second, taste-1 sits between the model and the agent loop, rewriting and reranking candidate edits to match your codebase conventions.
Plan availability
Gemini 3.5 Flash Lite is a premium model — it needs the Pro plan or higher. Not on the Go plan ($1/mo, open-source models only).
Command Code is a subscription with model usage at API rates. Each plan ships with monthly LLM credits; credits roll over and never expire, and auto top-up keeps you running if you go over.
| Plan | Price/mo | LLM credits | Models |
|---|---|---|---|
| Go | $1 | $10 | Open-source only |
| Pro | $15 | $30 | Open-source + premium |
| Provider | $15 | Pay as you go | Open-source + premium |
| Max 10× | $100 | $150 | Open-source + premium |
| Max 20× | $200 | $300 | Open-source + premium |
| Teams Pro | $40 / seat | $40 / seat | Open-source + premium |
| Enterprise | Custom | Custom | Custom pool, SSO, audit logs |
Why Gemini 3.5 Flash Lite for subagents
Gemini 3.5 Flash Lite pairs upgraded agentic capabilities with low per-token rates and low latency, which is the profile subagents need: many short, tool-heavy runs fanned out from a stronger orchestrating model. It carries vision input and a 1M-token context, and routes through the gateway to Google Vertex.
Switching models with /model
In an interactive Command Code session, run /model to open the model selector. Pick Gemini 3.5 Flash Lite and it applies to this session and to future sessions until you change it again. Premium models require Pro or higher; open-source models are available on every plan, including Go.
cmd # start an interactive session
/model # open the selector and pick Gemini 3.5 Flash LiteAll Command Code models, ranked by quality and speed
Quality is the Intelligence Index — an aggregate score across reasoning, math, coding, and knowledge evaluations. Speed is measured output tokens per second. Models without a published score are noted. This table is regenerated from the model registry, so it is always current.
| Model | Tier | Intelligence Index | Output speed |
|---|---|---|---|
| Claude Fable 5 | Premium | 59.9 | ~62 tok/s |
| GPT-5.6 Sol | Premium | 58.9 | ~77 tok/s |
| Claude Opus 4.8 | Premium | 55.7 | ~55 tok/s |
| GPT-5.6 Terra | Premium | 55 | ~155 tok/s |
| GPT-5.5 | Premium | 54.8 | ~81 tok/s |
| Grok 4.5 | Open-source | 53.8 | ~114 tok/s |
| Claude Opus 4.7 | Premium | 53.5 | ~52 tok/s |
| Claude Sonnet 5 | Premium | 53.4 | ~79 tok/s |
| GPT-5.4 | Premium | 51.4 | ~164 tok/s |
| GPT-5.6 Luna | Premium | 51.2 | ~234 tok/s |
| GLM-5.2 | Open-source | 51.1 | ~208 tok/s |
| Muse Spark 1.1 | Premium | 50.6 | ~130 tok/s |
| Gemini 3.5 Flash | Premium | 50.2 | ~236 tok/s |
| Claude Sonnet 4.6 | Premium | 47.2 | ~55 tok/s |
| Qwen 3.7 Max | Open-source | 46 | ~196 tok/s |
| MiniMax M3 | Open-source | 44.4 | ~113 tok/s |
| DeepSeek V4 Pro | Open-source | 44.3 | ~62 tok/s |
| GPT-5.3 Codex | Premium | 44.3 | ~106 tok/s |
| Kimi K2.6 | Open-source | 44.2 | ~43 tok/s |
| MiMo V2.5 Pro | Open-source | 42.2 | ~56 tok/s |
| Kimi K2.7 Code | Open-source | 41.9 | ~46 tok/s |
| DeepSeek V4 Flash | Open-source | 40.3 | ~106 tok/s |
| GLM-5.1 | Open-source | 40.2 | ~81 tok/s |
| Qwen 3.6 Max Preview | Open-source | 40 | ~46 tok/s |
| GPT-5.4 Mini | Premium | 40 | ~171 tok/s |
| Qwen 3.6 Plus | Open-source | 39.6 | ~53 tok/s |
| GLM-5 | Open-source | 39.5 | ~51 tok/s |
| Qwen 3.7 Plus | Open-source | 39 | ~52 tok/s |
| Kimi K2.5 | Open-source | 38.1 | ~51 tok/s |
| MiniMax M2.7 | Open-source | 38.1 | ~49 tok/s |
| Nemotron 3 Ultra | Open-source | 37.8 | ~204 tok/s |
| MiMo V2.5 | Open-source | 37.2 | ~88 tok/s |
| MiniMax M2.5 | Open-source | 33.7 | ~78 tok/s |
| Step 3.7 Flash | Open-source | 30.3 | ~407 tok/s |
| Step 3.5 Flash | Open-source | 26 | ~207 tok/s |
| Gemini 3.1 Flash Lite | Premium | 25 | ~300 tok/s |
| Claude Haiku 4.5 | Premium | 23.7 | ~103 tok/s |
| Kimi K3 | Open-source | Not yet scored | — |
| Kimi K2.7 Code HighSpeed | Open-source | Not yet scored | — |
| GLM-5.2 Fast | Open-source | Not yet scored | — |
| Inkling | Open-source | Not yet scored | — |
| Laguna S 2.1 | Open-source | Not yet scored | — |
| Gemini 3.6 Flash | Premium | Not yet scored | — |
| Gemini 3.5 Flash Lite (this page) | Premium | Not yet scored | — |
| Fugu Ultra | Premium | Not yet scored | — |
Frequently asked questions
Gemini 3.5 Flash Lite or MiniMax M3?
MiniMax M3 is about 54% cheaper blended ($0.3938 vs $0.85 per million tokens), scoring 44.4 on the Intelligence Index. Use MiniMax M3 for volume work and Gemini 3.5 Flash Lite where its edge earns the difference.
How much does Gemini 3.5 Flash Lite cost in Command Code?
$0.30 per million input tokens and $2.50 per million output tokens, with cache reads at $0.03. In an agent loop, cached context brings effective input to roughly $0.111 per million tokens.
What plan do I need for Gemini 3.5 Flash Lite?
Gemini 3.5 Flash Lite requires the Pro plan or higher. The Go plan ($1/mo) covers open-source models only.
Does Gemini 3.5 Flash Lite support image input and reasoning?
Yes — Gemini 3.5 Flash Lite accepts image input alongside text. It supports reasoning with selectable effort (low, medium, high).
Which Command Code model should I use?
Claude Fable 5 currently leads the lineup on the Intelligence Index (59.9). Grok 4.5 (53.8) leads the open-weights tier, available on every plan. For fast lookups, Step 3.7 Flash streams ~407 tok/s. There is no single right answer — switch per session with /model and let the task pick the model.
Can I mix Gemini 3.5 Flash Lite with other models in a workflow?
Yes. Switch per session using /model. Common pattern: keep a default model and switch up for hard problems or down for quick lookups as the task calls for it.
Gemini 3.5 Flash Lite or Gemini 3.1 Flash Lite?
3.5 Flash Lite is the newer Lite model with upgraded agentic capabilities; 3.1 Flash Lite remains the cheaper high-volume workhorse ($0.25 vs $0.30 input per million tokens). Both carry vision and a 1M context.
Is Gemini 3.5 Flash Lite available on the Go plan?
No. Gemini models are gated as premium, so they require Pro or higher — not the Go plan.
Is Command Code free to try?
The Go plan starts at $1/mo with $10 in LLM credits. It covers open-source models only. Pro at $15/mo unlocks premium models with $30 in LLM credits.
Does Command Code train on my code?
No. Command Code does not train on your code or store your code snippets. taste-1 data is stored locally in your project directory.
Where can I track my usage?
The Usage page in Studio shows per-request cost, token counts, and which model ran. Settings > Billing lets you change plans, buy credits, or enable auto top-up.
Does Command Code replace my editor?
No. Command Code is editor-agnostic — it runs as a CLI and works alongside any editor (Cursor, VS Code, Zed, JetBrains, Neovim, etc.).
Related reading
- Gemini 3.1 Flash Lite in Command Codehigh-volume workhorse model with implicit caching
- Gemini 3.6 Flash in Command Codehigher-quality coding & agentic workflows, fewer tokens
- Gemini 3.5 Flash in Command CodePro-level coding proficiency, parallel agentic execution
- GPT-5.4 Mini in Command Codefast, cost-effective model for everyday tasks
- Every model, one referenceThe docs list of all Command Code models with ids and context windows.
- Pricing, limits, and dealsThe canonical price table, running deals, and usage estimates.
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