Gemini 3.5 Flash vs MiniMax M3
Gemini 3.5 Flash (2026) and MiniMax M3 (teased) are frontier reasoning models from Google DeepMind and MiniMax. Gemini 3.5 Flash ships a 1M-token context window, while MiniMax M3 has no published context window yet. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Gemini 3.5 Flash is the production option today; track MiniMax M3 only as a release-watch candidate until public specs, pricing, provider routes, and benchmarks ship.
Decision scorecard
Local evidence first| Signal | Gemini 3.5 Flash | MiniMax M3 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | Release monitoring and wait-or-adopt planning |
| Decision fit | Coding, RAG, and Agents | General |
| Context window | 1M | — |
| Cheapest output | $9/1M tokens | - |
| Provider routes | 4 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemini 3.5 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 3.5 Flash has broader tracked provider coverage for fallback and procurement flexibility.
- Gemini 3.5 Flash uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Gemini 3.5 Flash for Coding, RAG, and Agents.
- Track MiniMax M3 only as a watchlist option until published weights, API routes, pricing, context, and benchmarks exist.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 3.5 Flash
$3,450
Cheapest tracked route/tier: Google AI Studio
MiniMax M3
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Do not migrate production traffic from Gemini 3.5 Flash to MiniMax M3 yet; wait for released weights or API documentation, pricing, context limits, and benchmark evidence.
- MiniMax M3 is not a callable production source yet, so this is a future evaluation path rather than a live migration.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-05-19 | Teased - not yet released |
| Context window | 1M | — |
| Parameters | — | — |
| Architecture | decoder only | MiniMax Sparse Attention |
| License | Proprietary | - |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 3.5 Flash | MiniMax M3 |
|---|---|---|
| Input price | $1.50/1M tokens | - |
| Output price | $9/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Gemini 3.5 Flash | MiniMax M3 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Gemini 3.5 Flash, multimodal input: Gemini 3.5 Flash, reasoning mode: Gemini 3.5 Flash, function calling: Gemini 3.5 Flash, tool use: Gemini 3.5 Flash, structured outputs: Gemini 3.5 Flash, and code execution: Gemini 3.5 Flash. Both models share the core language-model surface, 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.
Pricing coverage is uneven: Gemini 3.5 Flash has $1.50/1M input tokens and MiniMax M3 has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemini 3.5 Flash when you need a model you can test, price, and route today. Keep MiniMax M3 on a watchlist until release materials confirm the context window, price, license, provider availability, and benchmark behavior. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Is MiniMax M3 released yet?
No. MiniMax M3 is tracked as teased or pre-release in local seed data, with no public weights, API route, pricing, benchmarks, context window, or license details available yet. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Is Gemini 3.5 Flash or MiniMax M3 open source?
Gemini 3.5 Flash is listed under Proprietary. MiniMax M3 is listed under not clearly licensed in the seed data. 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 3.5 Flash or MiniMax M3?
Gemini 3.5 Flash has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Gemini 3.5 Flash or MiniMax M3?
Gemini 3.5 Flash has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, Gemini 3.5 Flash or MiniMax M3?
Gemini 3.5 Flash has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini 3.5 Flash and MiniMax M3?
Gemini 3.5 Flash is available on Google AI Studio, GCP Vertex AI, Vercel AI Gateway, and OpenRouter. MiniMax M3 has no tracked public provider route yet. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.