o3 vs Qwen3.5-9B
o3 (2025) and Qwen3.5-9B (2026) are frontier reasoning models from OpenAI and Alibaba. o3 ships a 200k-token context window, while Qwen3.5-9B ships a 262k-token context window. On Google-Proof Q&A, o3 leads by 6 pts. On pricing, Qwen3.5-9B costs $0.10/1M input tokens versus $2/1M 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 ~1900% cheaper at $0.10/1M; pay for o3 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | o3 | 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 | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 200k | 262k |
| Cheapest output | $8/1M tokens | $0.15/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 2 rows |
Decision tradeoffs
- o3 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 6 points.
- o3 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags o3 for Coding, RAG, and Agents.
- 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.
- 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
$3,600
Cheapest tracked route/tier: OpenAI API
Qwen3.5-9B
$118
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $3,483. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Qwen3.5-9B is $7.85/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- o3 is $7.85/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- o3 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-16 | 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 | Qwen3.5-9B |
|---|---|---|
| Input price | $2/1M tokens | $0.10/1M tokens |
| Output price | $8/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | o3 | 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 | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | o3 | Qwen3.5-9B |
|---|---|---|
| Google-Proof Q&A | 87.7 | 81.7 |
| LiveCodeBench | 85.5 | 65.6 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has o3 at 87.7 and Qwen3.5-9B at 81.7, with o3 ahead by 6 points; LiveCodeBench has o3 at 85.5 and Qwen3.5-9B at 65.6, with o3 ahead by 19.9 points. The largest visible gap is 19.9 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: o3 and code execution: o3. 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 lists $2/1M input and $8/1M 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 $3.68 per million blended tokens. Availability is 3 providers versus 3, so concentration risk also matters.
Choose o3 when coding workflow support 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.
FAQ
Which has a larger context window, o3 or Qwen3.5-9B?
Qwen3.5-9B supports 262k tokens, while o3 supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, o3 or Qwen3.5-9B?
Qwen3.5-9B is cheaper on tracked token pricing. o3 costs $2/1M input and $8/1M 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 or Qwen3.5-9B open source?
o3 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 or Qwen3.5-9B?
Both o3 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 or Qwen3.5-9B?
Both o3 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 and Qwen3.5-9B?
o3 is available on OpenAI API, OpenRouter, and 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: 2026-06-08. Data sourced from public model cards and provider documentation.