LLM Reference

GPT-5.5 vs Qwen3-Max

GPT-5.5 (2026) and Qwen3-Max (2025) are frontier reasoning models from OpenAI and Alibaba. GPT-5.5 ships a 1.05m-token context window, while Qwen3-Max ships a 262k-token context window. On SWE-bench Verified, GPT-5.5 leads by 3.8 pts. On pricing, GPT-5.5 ranges from $5 to $8/1M input tokens by tier; 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.

GPT-5.5 fits 4x more tokens; pick it for long-context work and Qwen3-Max for tighter calls.

Decision scorecard

Local evidence first
SignalGPT-5.5Qwen3-Max
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsmultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1.05m262k
Cheapest output$30/1M tokens$3.90/1M tokens
Provider routes4 tracked3 tracked
Shared benchmarksSWE-bench Verified leader1 shared

Decision tradeoffs

Choose GPT-5.5 when...
  • GPT-5.5 holds a shared-benchmark lead on SWE-bench Verified, ahead by 3.8 points.
  • GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.5 has broader tracked provider coverage for fallback and route flexibility.
  • GPT-5.5 uniquely exposes Reasoning and Code execution in local model data.
  • Local decision data tags GPT-5.5 for Coding, RAG, and Agents.
Choose Qwen3-Max when...
  • Qwen3-Max has the lower cheapest tracked output price at $3.90/1M tokens.
  • 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-5.5

$11,500

Cheapest tracked route/tier: OpenAI API 0-272K input tokens

Qwen3-Max

$1,599

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $9,901. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5.5 -> Qwen3-Max
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Qwen3-Max is $26.10/1M 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.
Qwen3-Max -> GPT-5.5
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • GPT-5.5 is $26.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.5 adds Reasoning and Code execution in local capability data.

Specs

Specification
Released2026-04-232025-04-28
Context window1.05m262k
Parameters
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-122025-12

Pricing and availability

Pricing attributeGPT-5.5Qwen3-Max
Input price
0-272K input tokens
$5/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$8/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
0-32,001t
$1.20/1M tokens
0-128,001t
$2.40/1M tokens
128,001t+
$3/1M tokens
Output price
0-272K input tokens
$30/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$36/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
0-32,001t
$6/1M tokens
0-128,001t
$12/1M tokens
128,001t+
$15/1M tokens
Providers

Capabilities

CapabilityGPT-5.5Qwen3-Max
VisionYesYes
MultimodalYesYes
ReasoningYesNo
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGPT-5.5Qwen3-Max
SWE-bench Verified82.678.8

Continue comparing

Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.