GPT-4o (2024-11-20) vs Qwen3-Max
GPT-4o (2024-11-20) (2024) and Qwen3-Max (2025) are compact production models from OpenAI and Alibaba. GPT-4o (2024-11-20) ships a 128K-token context window, while Qwen3-Max ships a 256K-token context window. On pricing, GPT-4o (2024-11-20) costs $2.50/1M input tokens; Qwen3-Max ranges from $1.20 to $3/1M input tokens by tier. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3-Max is safer overall; choose GPT-4o (2024-11-20) when provider fit matters.
Decision scorecard
Local evidence first| Signal | GPT-4o (2024-11-20) | Qwen3-Max |
|---|---|---|
| Best for | provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Long context | Coding, RAG, and Agents |
| Context window | 128K | 256K |
| Cheapest output | $10/1M tokens | $3.90/1M tokens |
| Provider routes | 2 tracked | 3 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags GPT-4o (2024-11-20) for Coding, RAG, and Long context.
- Qwen3-Max has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3-Max has the lower cheapest tracked output price at $3.90/1M tokens.
- Qwen3-Max has broader tracked provider coverage for fallback and route flexibility.
- Qwen3-Max uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Qwen3-Max 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.
GPT-4o (2024-11-20)
$4,500
Cheapest tracked route/tier: OpenRouter
Qwen3-Max
$1,599
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $2,901. 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-Max is $6.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Qwen3-Max adds Vision, Multimodal, and JSON / Tool use in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4o (2024-11-20) is $6.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-11-20 | 2025-04-28 |
| Context window | 128K | 256K |
| Parameters | — | — |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Weights | Not released | Not released |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Restricted |
| Knowledge cutoff | 2023-10 | 2025-12 |
Pricing and availability
| Pricing attribute | GPT-4o (2024-11-20) | Qwen3-Max |
|---|---|---|
| Input price | $2.50/1M tokens |
|
| Output price | $10/1M tokens |
|
| Providers |
Capabilities
| Capability | GPT-4o (2024-11-20) | Qwen3-Max |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | 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 scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Qwen3-Max, multimodal input: Qwen3-Max, JSON / Tool use: Qwen3-Max, and JSON / Tool use: Qwen3-Max. Both models share 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, GPT-4o (2024-11-20) lists $2.50/1M input and $10/1M output tokens on the cheapest tracked provider, while Qwen3-Max lists tiered pricing: 0-32,001t is $1.20/1M input and $6/1M output; 0-128,001t is $2.40/1M input and $12/1M output; 128,001t+ is $3/1M input and $15/1M output. A 70/30 input-output blend puts Qwen3-Max lower by about $3.03 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 2 providers versus 3, so concentration risk also matters.
Choose GPT-4o (2024-11-20) when provider fit are central to the workload. Choose Qwen3-Max when long-context analysis, larger context windows, and lower cheapest-tier 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, GPT-4o (2024-11-20) or Qwen3-Max?
Qwen3-Max supports 256K tokens, while GPT-4o (2024-11-20) supports 128K 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, GPT-4o (2024-11-20) or Qwen3-Max?
GPT-4o (2024-11-20) lists $2.50/1M input and $10/1M output tokens on the cheapest tracked provider. Qwen3-Max lists tiered pricing: 0-32,001t is $1.20/1M input and $6/1M output; 0-128,001t is $2.40/1M input and $12/1M output; 128,001t+ is $3/1M input and $15/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is GPT-4o (2024-11-20) or Qwen3-Max open source?
GPT-4o (2024-11-20) is listed under Proprietary. Qwen3-Max is listed under Proprietary. 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, GPT-4o (2024-11-20) or Qwen3-Max?
Qwen3-Max 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GPT-4o (2024-11-20) or Qwen3-Max?
Qwen3-Max 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 GPT-4o (2024-11-20) and Qwen3-Max?
GPT-4o (2024-11-20) is available on OpenRouter and OpenAI API. Qwen3-Max is available on OpenRouter, Vercel AI Gateway, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.