Gemini 3.6 Flash is Google's best model for coding — it scores 92/100 vs 90/100 for Gemini 3.5 Flash, at $0.75/1M input tokens. Across all providers, GPT-6 Astra still leads coding at 100/100 — worth considering if you're not committed to Google.
The safest google model for coding default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Gemini 3.6 Flash is the strongest answer here for google model for coding — pick it when quality of output matters more than the $0.75/1M/1M input you pay for it.
Gemini 3.5 Flash-Lite handles the same job for about 38% less per token. Start here and only move up if the output is not good enough.
Gemini 3.5 Flash is the fastest of these for google model for coding — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Gemini 3.6 Flash leads Google's lineup for coding at 92/100 ($0.75/1M input, 1.048576M context).
Gemini 3.5 Flash-Lite is the value pick at $0.3/1M input with a coding score of 78/100.
GPT-6 Astra (OpenAI) is the overall coding leader at 100/100 if provider choice is open.
Choose Gemini 3.6 Flash when coding quality is the priority and you're staying on Google.
Choose Gemini 3.5 Flash-Lite when token volume matters more than peak quality.
Teams open to other providers should also evaluate GPT-6 Astra before committing.
Switch the scoring lens to see whether the google model for coding answer changes when cost, speed, or long-document depth leads the decision.
Google / Balanced / Sep 3, 2026
Best Gemini for agents — efficiency king with native computer use.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need raw frontier reasoning ceiling — Claude Opus 5 and GPT-5.6 Sol lead the hardest tasks.
Where the google model for coding recommendation shifts once you weigh price or latency differently.
Best Gemini for agents — efficiency king with native computer use.
Excellent fast agentic model, superseded by Gemini 3.6 Flash.
80.8% SWE-bench Verified at introductory Flash pricing.
Best for research and deep document analysis — 2M context at the best premium price.
Fastest budget multimodal model — 350 tokens/sec at Lite pricing.
Best cheap AI for broad day-to-day work — now with 1M context.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Gemini 3.6 FlashGoogle | $0.75/1M | $3.75/1M | $15 | 1.0M tokens | Fast | 92 | 86 | 91 |
| Gemini 3.5 FlashGoogle | $1.50/1M | $9.00/1M | $33 | 1.0M tokens | Fast | 90 | 84 | 90 |
| Gemini 3.7 FlashGoogle | $0.75/1M | $3.75/1M | $15 | 1.0M tokens | Fast | 89 | 82 | 85 |
| Gemini 3.1 ProGoogle | $2.00/1M | $12.00/1M | $44 | 2M tokens | Balanced | 80 | 82 | 99 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for google model for coding, what it is genuinely good at, and where we would steer you away from it.
The default answer for google model for coding — 92/100 on the coding axis, and the model we would start with unless the price below rules it out.
Google's efficiency-focused successor to 3.5 Flash — higher scores on every benchmark Google tested, ~17% fewer output tokens, and cheaper output pricing.
You need raw frontier reasoning ceiling — Claude Opus 5 and GPT-5.6 Sol lead the hardest tasks.
The best Google model for agents right now. Cheaper, faster, and stronger than 3.5 Flash with the best OSWorld computer-use score in its class. The default Gemini pick until Gemini 4 lands.
Full pricing, benchmark table and release notes on the Gemini 3.6 Flash page.
Here for latency: it answers fastest of anything listed for google model for coding, at 90/100 on coding.
Google's I/O 2026 headliner — a Flash-tier model that beats Gemini 3.1 Pro on agentic and coding benchmarks while running roughly 4x faster than comparable frontier models.
Starting fresh — Gemini 3.6 Flash is better and cheaper.
Was the speed-to-intelligence king from May to July 2026 — then Gemini 3.6 Flash beat it on every benchmark at lower output cost. Still excellent, but pick 3.6 Flash for new work.
Full pricing, benchmark table and release notes on the Gemini 3.5 Flash page.
Rounds out the shortlist for google model for coding at 89/100 on coding.
80.8% SWE-bench Verified at introductory Flash pricing. Full Gemini 3.7 Flash review →
Rounds out the shortlist for google model for coding at 80/100 on coding.
Best for research and deep document analysis — 2M context at the best premium price. Full Gemini 3.1 Pro review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Gemini 3.6 Flash — it scores 92/100 on coding in this directory, ahead of Gemini 3.5 Flash at 90/100. Best Gemini for agents — efficiency king with native computer use.
Not overall. GPT-6 Astra (OpenAI) leads the directory for coding at 100/100 vs Gemini 3.6 Flash's 92/100. Gemini 3.6 Flash is the best pick if you're staying within Google's ecosystem.
Gemini 3.5 Flash-Lite at $0.3/1M input tokens (coding score: 78/100). Use it for volume work and reserve Gemini 3.6 Flash for the tasks where quality matters most.
$0.75/1M input tokens and $3.75/1M output tokens via the API, or through Google AI Pro at $19.99/mo for chat use. Context window: 1.048576M tokens. On a moderate month — 10M input and 2M output tokens — that works out to about $15.00, against $8.00 for Gemini 3.5 Flash-Lite.
Point release, not a generational leap — Gemini 4 is teased but unreleased. Google's own lineup tops out at Flash tier for this generation; no 3.5/3.6 Pro exists. Concretely, avoid it if you need raw frontier reasoning ceiling — Claude Opus 5 and GPT-5.6 Sol lead the hardest tasks. If none of that is negotiable, GPT-6 Astra (OpenAI) is the cross-provider leader at 100/100.
long-horizon engineering agents — DeepSWE 49% with up to 65% token reduction on long tasks, native computer-use automation (83.0% OSWorld-Verified), and high-throughput multimodal work with video, audio, and PDF ingestion. Its 1.048576M-token context window is the practical limit on how much you can hand it in one go.
Gemini 3.6 Flash scores 92/100 on coding against 78/100 for Gemini 3.5 Flash-Lite, at 3x the input price. That premium is worth it on work where a wrong answer costs real time or money, and hard to justify on high-volume, low-stakes calls. Most teams run both and route by task rather than picking one.