o3 Deep Research vs Qwen3.5-9B
o3 Deep Research (2025) and Qwen3.5-9B (2026) are frontier reasoning models from OpenAI and Alibaba. o3 Deep Research ships a 200k-token context window, while Qwen3.5-9B ships a 262k-token context window. On pricing, Qwen3.5-9B costs $0.10/1M input tokens versus $10/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3.5-9B is ~9900% cheaper at $0.10/1M; pay for o3 Deep Research only for reasoning depth.
Decision scorecard
Local evidence first| Signal | o3 Deep Research | Qwen3.5-9B |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 200k | 262k |
| Cheapest output | $40/1M tokens | $0.15/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- o3 Deep Research uniquely exposes Reasoning in local model data.
- Local decision data tags o3 Deep Research for RAG, Agents, and Long context.
- Qwen3.5-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-9B has the lower cheapest tracked output price at $0.15/1M tokens.
- Qwen3.5-9B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Qwen3.5-9B 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.
o3 Deep Research
$18,000
Cheapest tracked route/tier: Vercel AI Gateway
Qwen3.5-9B
$118
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $17,883. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for o3 Deep Research and Qwen3.5-9B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-9B is $39.85/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen3.5-9B and o3 Deep Research; plan for SDK, billing, or endpoint changes.
- o3 Deep Research is $39.85/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- o3 Deep Research adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-10 | 2026-03-02 |
| Context window | 200k | 262k |
| Parameters | — | 9B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2024-06 | - |
Pricing and availability
| Pricing attribute | o3 Deep Research | Qwen3.5-9B |
|---|---|---|
| Input price | $10/1M tokens | $0.10/1M tokens |
| Output price | $40/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | o3 Deep Research | Qwen3.5-9B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | 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 reasoning mode: o3 Deep Research. 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, o3 Deep Research lists $10/1M input and $40/1M output tokens on the cheapest tracked provider, while Qwen3.5-9B lists $0.10/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-9B lower by about $18.89 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose o3 Deep Research when reasoning depth are central to the workload. Choose Qwen3.5-9B when long-context analysis, larger context windows, and lower input-token cost 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, o3 Deep Research or Qwen3.5-9B?
Qwen3.5-9B supports 262k tokens, while o3 Deep Research supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, o3 Deep Research or Qwen3.5-9B?
Qwen3.5-9B is cheaper on tracked token pricing. o3 Deep Research costs $10/1M input and $40/1M output tokens. Qwen3.5-9B costs $0.10/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is o3 Deep Research or Qwen3.5-9B open source?
o3 Deep Research is listed under Proprietary. Qwen3.5-9B 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, o3 Deep Research or Qwen3.5-9B?
Both o3 Deep Research and Qwen3.5-9B 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, o3 Deep Research or Qwen3.5-9B?
Both o3 Deep Research and Qwen3.5-9B 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 o3 Deep Research and Qwen3.5-9B?
o3 Deep Research is available on Vercel AI Gateway. Qwen3.5-9B is available on Together AI, OpenRouter, and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.