LLM Reference

GPT-4o (08-06) vs Qwen3-Max

GPT-4o (08-06) (2024) and Qwen3-Max (2025) are compact production models from OpenAI and Alibaba. GPT-4o (08-06) ships a 128k-token context window, while Qwen3-Max ships a 262k-token context window. On pricing, GPT-4o (08-06) 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 (08-06) when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGPT-4o (08-06)Qwen3-Max
Best formultimodal apps and provider-routed productionmultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window128k262k
Cheapest output$10/1M tokens$3.90/1M tokens
Provider routes3 tracked3 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-4o (08-06) when...
  • GPT-4o (08-06) uniquely exposes Code execution in local model data.
  • Local decision data tags GPT-4o (08-06) for Coding, RAG, and Agents.
Choose Qwen3-Max when...
  • 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 uniquely exposes Function calling and 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.

Lower estimate Qwen3-Max

GPT-4o (08-06)

$4,500

Cheapest tracked route/tier: OpenAI API

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

GPT-4o (08-06) -> Qwen3-Max
  • 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.
  • Check replacement coverage for Code execution before moving production traffic.
  • Qwen3-Max adds Function calling and Tool use in local capability data.
Qwen3-Max -> GPT-4o (08-06)
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • GPT-4o (08-06) is $6.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.
  • GPT-4o (08-06) adds Code execution in local capability data.

Specs

Specification
Released2024-08-062025-04-28
Context window128k262k
Parameters1.76T (8x222B MoE)*
Architecturemixture of expertsdecoder only
LicenseProprietaryApache 2.0(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2023-102025-12

Pricing and availability

Pricing attributeGPT-4o (08-06)Qwen3-Max
Input price$2.50/1M tokens
0-32,001t
$1.20/1M tokens
0-128,001t
$2.40/1M tokens
128,001t+
$3/1M tokens
Output price$10/1M tokens
0-32,001t
$6/1M tokens
0-128,001t
$12/1M tokens
128,001t+
$15/1M tokens
Providers

Capabilities

CapabilityGPT-4o (08-06)Qwen3-Max
VisionYesYes
MultimodalYesYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsYesYes
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 function calling: Qwen3-Max, tool use: Qwen3-Max, and code execution: GPT-4o (08-06). Both models share vision, multimodal input, and 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 (08-06) 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 3 providers versus 3, so concentration risk also matters.

Choose GPT-4o (08-06) when coding workflow support 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 (08-06) or Qwen3-Max?

Qwen3-Max supports 262k tokens, while GPT-4o (08-06) 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 (08-06) or Qwen3-Max?

GPT-4o (08-06) 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 (08-06) or Qwen3-Max open source?

GPT-4o (08-06) is listed under Proprietary. Qwen3-Max 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, GPT-4o (08-06) or Qwen3-Max?

Both GPT-4o (08-06) and Qwen3-Max 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, GPT-4o (08-06) or Qwen3-Max?

Both GPT-4o (08-06) and Qwen3-Max 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 GPT-4o (08-06) and Qwen3-Max?

GPT-4o (08-06) is available on OpenAI API, Salesforce Einstein Generative AI, and OpenRouter. 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

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