LLM Reference

GPT-4o (11-20) vs Qwen3-Next-80B-A3B

GPT-4o (11-20) (2024) and Qwen3-Next-80B-A3B (2025) are compact production models from OpenAI and Alibaba. GPT-4o (11-20) ships a 128K-token context window, while Qwen3-Next-80B-A3B ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Qwen3-Next-80B-A3B is safer overall; choose GPT-4o (11-20) when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGPT-4o (11-20)Qwen3-Next-80B-A3B
Best formultimodal appsprovider-routed production
Decision fitCoding, Agents, and Long contextClassification and JSON / Tool use
Context window128K
Cheapest output-$0.78/1M tokens
Provider routes0 tracked5 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-4o (11-20) when...
  • GPT-4o (11-20) has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-4o (11-20) uniquely exposes Vision and Code execution in local model data.
  • Local decision data tags GPT-4o (11-20) for Coding, Agents, and Long context.
Choose Qwen3-Next-80B-A3B when...
  • Qwen3-Next-80B-A3B has broader tracked provider coverage for fallback and procurement flexibility.
  • Qwen3-Next-80B-A3B uniquely exposes Structured outputs in local model data.
  • Local decision data tags Qwen3-Next-80B-A3B for Classification and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

GPT-4o (11-20)

Unavailable

No complete token price in local provider data

Qwen3-Next-80B-A3B

$273

Cheapest tracked route/tier: OpenRouter

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

GPT-4o (11-20) -> Qwen3-Next-80B-A3B
  • No overlapping tracked provider route is sourced for GPT-4o (11-20) and Qwen3-Next-80B-A3B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision and Code execution before moving production traffic.
  • Qwen3-Next-80B-A3B adds Structured outputs in local capability data.
Qwen3-Next-80B-A3B -> GPT-4o (11-20)
  • No overlapping tracked provider route is sourced for Qwen3-Next-80B-A3B and GPT-4o (11-20); plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • GPT-4o (11-20) adds Vision and Code execution in local capability data.

Specs

Specification
Released2024-11-202025-12-01
Context window128K
Parameters1.76T (8x222B MoE)*80B (3B active)
Architecturemixture of experts-
LicenseProprietaryProprietary
Knowledge cutoff2023-10-

Pricing and availability

Pricing attributeGPT-4o (11-20)Qwen3-Next-80B-A3B
Input price-$0.10/1M tokens
Output price-$0.78/1M tokens
Providers-

Capabilities

CapabilityGPT-4o (11-20)Qwen3-Next-80B-A3B
VisionYesNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: GPT-4o (11-20), structured outputs: Qwen3-Next-80B-A3B, and code execution: GPT-4o (11-20). Both models share the core language-model surface, 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: GPT-4o (11-20) has no token price sourced yet and Qwen3-Next-80B-A3B has $0.10/1M input tokens. Provider availability is 0 tracked routes versus 5. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-4o (11-20) when coding workflow support are central to the workload. Choose Qwen3-Next-80B-A3B when provider fit and broader provider choice 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Is GPT-4o (11-20) or Qwen3-Next-80B-A3B open source?

GPT-4o (11-20) is listed under Proprietary. Qwen3-Next-80B-A3B 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 (11-20) or Qwen3-Next-80B-A3B?

GPT-4o (11-20) 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 structured outputs, GPT-4o (11-20) or Qwen3-Next-80B-A3B?

Qwen3-Next-80B-A3B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for code execution, GPT-4o (11-20) or Qwen3-Next-80B-A3B?

GPT-4o (11-20) has the clearer documented code execution signal in this comparison. If code execution 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 (11-20) and Qwen3-Next-80B-A3B?

GPT-4o (11-20) is available on the tracked providers still being sourced. Qwen3-Next-80B-A3B is available on AWS Bedrock, OpenRouter, Venice AI, Novita AI, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick GPT-4o (11-20) over Qwen3-Next-80B-A3B?

Qwen3-Next-80B-A3B is safer overall; choose GPT-4o (11-20) when coding workflow support matters. If your workload also depends on coding workflow support, start with GPT-4o (11-20); if it depends on provider fit, run the same evaluation with Qwen3-Next-80B-A3B.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.