Gemini 2.5 Pro vs Qwen3.5-4B
Gemini 2.5 Pro (2025) and Qwen3.5-4B (2026) are frontier reasoning models from Google DeepMind and Alibaba. Gemini 2.5 Pro ships a 1m-token context window, while Qwen3.5-4B ships a 262k-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 7.1 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3.5-4B is safer overall; choose Gemini 2.5 Pro when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | Qwen3.5-4B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps |
| Decision fit | Coding, RAG, and Agents | Coding, Agents, and Long context |
| Context window | 1m | 262k |
| Cheapest output | $10/1M tokens | - |
| Provider routes | 4 tracked | 0 tracked |
| Shared benchmarks | MMLU PRO leader | 3 rows |
Decision tradeoffs
- Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 7.1 points.
- Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Gemini 2.5 Pro uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- Local decision data tags Qwen3.5-4B for Coding, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 2.5 Pro
$3,500
Cheapest tracked route/tier: Google AI Studio <=200K tokens
Qwen3.5-4B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Gemini 2.5 Pro and Qwen3.5-4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen3.5-4B and Gemini 2.5 Pro; plan for SDK, billing, or endpoint changes.
- Gemini 2.5 Pro adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2026-03-02 |
| Context window | 1m | 262k |
| Parameters | — | 4B |
| Architecture | decoder only | - |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2025-01 | - |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | Qwen3.5-4B |
|---|---|---|
| Input price |
| - |
| Output price |
| - |
| Providers | - |
Capabilities
| Capability | Gemini 2.5 Pro | Qwen3.5-4B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| 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
| Benchmark | Gemini 2.5 Pro | Qwen3.5-4B |
|---|---|---|
| MMLU PRO | 86.2 | 79.1 |
| Google-Proof Q&A | 86.4 | 76.2 |
| LiveCodeBench | 75.6 | 55.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 2.5 Pro at 86.2 and Qwen3.5-4B at 79.1, with Gemini 2.5 Pro ahead by 7.1 points; Google-Proof Q&A has Gemini 2.5 Pro at 86.4 and Qwen3.5-4B at 76.2, with Gemini 2.5 Pro ahead by 10.2 points; LiveCodeBench has Gemini 2.5 Pro at 75.6 and Qwen3.5-4B at 55.8, with Gemini 2.5 Pro ahead by 19.8 points. The largest visible gap is 19.8 points on LiveCodeBench, 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: Gemini 2.5 Pro, function calling: Gemini 2.5 Pro, tool use: Gemini 2.5 Pro, structured outputs: Gemini 2.5 Pro, and code execution: Gemini 2.5 Pro. Both models share vision and multimodal input, 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 2.5 Pro has $1.25/1M input tokens and Qwen3.5-4B 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 2.5 Pro when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3.5-4B when vision-heavy evaluation 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 2.5 Pro or Qwen3.5-4B?
Gemini 2.5 Pro supports 1m tokens, while Qwen3.5-4B supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemini 2.5 Pro or Qwen3.5-4B open source?
Gemini 2.5 Pro is listed under Proprietary. Qwen3.5-4B 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 Pro or Qwen3.5-4B?
Both Gemini 2.5 Pro and Qwen3.5-4B 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 2.5 Pro or Qwen3.5-4B?
Both Gemini 2.5 Pro and Qwen3.5-4B 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.
Which is better for reasoning mode, Gemini 2.5 Pro or Qwen3.5-4B?
Gemini 2.5 Pro 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 2.5 Pro and Qwen3.5-4B?
Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Qwen3.5-4B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-05. Data sourced from public model cards and provider documentation.