Gemini 3.1 Flash-Lite vs GPT-5.5
Gemini 3.1 Flash-Lite (2026) and GPT-5.5 (2026) are frontier reasoning models from Google DeepMind and OpenAI. Gemini 3.1 Flash-Lite ships a 1.05m-token context window, while GPT-5.5 ships a 1.05m-token context window. On Google-Proof Q&A, GPT-5.5 leads by 6.7 pts. On pricing, Gemini 3.1 Flash-Lite costs $0.25/1M input tokens; GPT-5.5 ranges from $5 to $10/1M input tokens by tier. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 3.1 Flash-Lite is safer overall; choose GPT-5.5 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemini 3.1 Flash-Lite | GPT-5.5 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1.05m | 1.05m |
| Cheapest output | $1.50/1M tokens | $30/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | 2 rows | Google-Proof Q&A leader |
Decision tradeoffs
- Gemini 3.1 Flash-Lite has the lower cheapest tracked output price at $1.50/1M tokens.
- Local decision data tags Gemini 3.1 Flash-Lite for Coding, RAG, and Agents.
- GPT-5.5 leads the largest shared benchmark signal on Google-Proof Q&A by 6.7 points.
- GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.5 uniquely exposes Reasoning in local model data.
- Local decision data tags GPT-5.5 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 3.1 Flash-Lite
$575
Cheapest tracked route/tier: Google AI Studio
GPT-5.5
$11,500
Cheapest tracked route/tier: OpenAI API 0-272K input tokens
Estimated monthly gap: $10,925. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- GPT-5.5 is $28.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.5 adds Reasoning in local capability data.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Gemini 3.1 Flash-Lite is $28.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-05-07 | 2026-04-23 |
| Context window | 1.05m | 1.05m |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-01 | 2025-12 |
Pricing and availability
| Pricing attribute | Gemini 3.1 Flash-Lite | GPT-5.5 |
|---|---|---|
| Input price | $0.25/1M tokens |
|
| Output price | $1.50/1M tokens |
|
| Providers |
Capabilities
| Capability | Gemini 3.1 Flash-Lite | GPT-5.5 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | GPT-5.5 |
|---|---|---|
| Google-Proof Q&A | 86.9 | 93.6 |
| Chatbot Arena | 1432.0 | 1488.0 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Gemini 3.1 Flash-Lite at 86.9 and GPT-5.5 at 93.6, with GPT-5.5 ahead by 6.7 points; Chatbot Arena has Gemini 3.1 Flash-Lite at 1432 and GPT-5.5 at 1488, with GPT-5.5 ahead by 56 points. The largest visible gap is 56 points on Chatbot Arena, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on reasoning mode: GPT-5.5. Both models share vision, multimodal input, function calling, and tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Gemini 3.1 Flash-Lite lists $0.25/1M input and $1.50/1M output tokens on the cheapest tracked provider, while GPT-5.5 lists tiered pricing: 0-272K input tokens is $5/1M input and $30/1M output; 0-272,000t is $5/1M input and $30/1M output; 272K+ input tokens is $8/1M input and $36/1M output; 272,000t+ is $10/1M input and $45/1M output. A 70/30 input-output blend puts Gemini 3.1 Flash-Lite lower by about $11.88 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 3 providers versus 3, so concentration risk also matters.
Choose Gemini 3.1 Flash-Lite when coding workflow support and lower input-token cost are central to the workload. Choose GPT-5.5 when coding workflow support and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Gemini 3.1 Flash-Lite or GPT-5.5?
GPT-5.5 supports 1.05m tokens, while Gemini 3.1 Flash-Lite supports 1.05m tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 3.1 Flash-Lite or GPT-5.5?
Gemini 3.1 Flash-Lite lists $0.25/1M input and $1.50/1M output tokens on the cheapest tracked provider. GPT-5.5 lists tiered pricing: 0-272K input tokens is $5/1M input and $30/1M output; 0-272,000t is $5/1M input and $30/1M output; 272K+ input tokens is $8/1M input and $36/1M output; 272,000t+ is $10/1M input and $45/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Gemini 3.1 Flash-Lite or GPT-5.5 open source?
Gemini 3.1 Flash-Lite is listed under Proprietary. GPT-5.5 is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Gemini 3.1 Flash-Lite or GPT-5.5?
Both Gemini 3.1 Flash-Lite and GPT-5.5 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Gemini 3.1 Flash-Lite or GPT-5.5?
Both Gemini 3.1 Flash-Lite and GPT-5.5 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Gemini 3.1 Flash-Lite and GPT-5.5?
Gemini 3.1 Flash-Lite is available on Google AI Studio, OpenRouter, and Vercel AI Gateway. GPT-5.5 is available on OpenAI API, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-03. Data sourced from public model cards and provider documentation.