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Gemini 2.5 Flash vs Qwen3.5-35B-A3B

Gemini 2.5 Flash (2025) and Qwen3.5-35B-A3B (2026) are frontier reasoning models from Google DeepMind and Alibaba. Gemini 2.5 Flash ships a 1M-token context window, while Qwen3.5-35B-A3B ships a 262K-token context window. On pricing, Gemini 2.5 Flash costs $0.15/1M input tokens versus $0.16/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Qwen3.5-35B-A3B is safer overall; choose Gemini 2.5 Flash when coding workflow support matters.

Specs

Released2025-06-172026-02-24
Context window1M262K
Parameters35B
Architecturedecoder onlymixture of experts
LicenseProprietaryApache 2.0
Knowledge cutoff2025-01-

Pricing and availability

Gemini 2.5 FlashQwen3.5-35B-A3B
Input price$0.15/1M tokens$0.16/1M tokens
Output price$0.6/1M tokens$1.3/1M tokens
Providers

Capabilities

Gemini 2.5 FlashQwen3.5-35B-A3B
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Gemini 2.5 Flash, multimodal input: Gemini 2.5 Flash, reasoning mode: Qwen3.5-35B-A3B, and code execution: Gemini 2.5 Flash. Both models share function calling, tool use, and structured outputs, 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 2.5 Flash lists $0.15/1M input and $0.6/1M output tokens, while Qwen3.5-35B-A3B lists $0.16/1M input and $1.3/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 2.5 Flash lower by about $0.22 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.

Choose Gemini 2.5 Flash when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Qwen3.5-35B-A3B when reasoning depth are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. 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

Which has a larger context window, Gemini 2.5 Flash or Qwen3.5-35B-A3B?

Gemini 2.5 Flash supports 1M tokens, while Qwen3.5-35B-A3B supports 262K 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 2.5 Flash or Qwen3.5-35B-A3B?

Gemini 2.5 Flash is cheaper on tracked token pricing. Gemini 2.5 Flash costs $0.15/1M input and $0.6/1M output tokens. Qwen3.5-35B-A3B costs $0.16/1M input and $1.3/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemini 2.5 Flash or Qwen3.5-35B-A3B open source?

Gemini 2.5 Flash is listed under Proprietary. Qwen3.5-35B-A3B is listed under Apache 2.0. 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 2.5 Flash or Qwen3.5-35B-A3B?

Gemini 2.5 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 2.5 Flash or Qwen3.5-35B-A3B?

Gemini 2.5 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.

Where can I run Gemini 2.5 Flash and Qwen3.5-35B-A3B?

Gemini 2.5 Flash is available on Google AI Studio, GCP Vertex AI, Replicate API, and OpenRouter. Qwen3.5-35B-A3B is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.