GPT-5.2 Pro vs Qwen3.7 Plus

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$21.00Openai · Sep 3, 2026$0.32Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$168.00Openai · Sep 3, 2026$1.28Openrouter · Sep 22, 2026
Context windowMaximum documented tokens400K1,000K
Model facts checkedSep 3, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGPT-5.2 ProQwen3.7-Plus
DeveloperOpenAIQwen
FamilyGpt 5 2Qwen3 7 Plus
ModelGPT-5.2 ProQwen3.7-Plus
VersionGPT-5.2 ProQwen3.7-Plus
Lifecycleactiveactive
Released2025-12-11Unknown
Knowledge cutoff2025-08-31Unknown
Input modalitiesText, ImageText, Image, Video
Output modalitiesTextText
Context window400K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsagents, chat, computer-use, reasoning, structured_outputs, tools, vision

GPT-5.2 Pro Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.2-pro

Qwen3.7 Plus Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDqwen/qwen3.7-plus

Primary Evidence

Sources and Freshness

Questions

GPT-5.2 Pro vs Qwen3.7 Plus FAQs

Is GPT-5.2 Pro or Qwen3.7 Plus better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.2 Pro and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5.2 Pro or Qwen3.7 Plus?+

GPT-5.2 Pro is $21.00 and Qwen3.7 Plus is $0.32 per million tokens, so Qwen3.7 Plus is cheaper on this metric. GPT-5.2 Pro is $168.00 and Qwen3.7 Plus is $1.28 per million tokens, so Qwen3.7 Plus is cheaper on this metric.

Which has a larger context window, GPT-5.2 Pro or Qwen3.7 Plus?+

Qwen3.7 Plus has the larger sourced context window. GPT-5.2 Pro supports 400K and Qwen3.7 Plus supports 1,000K.

Which performs better in benchmarks, GPT-5.2 Pro or Qwen3.7 Plus?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can GPT-5.2 Pro or Qwen3.7 Plus be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5.2 Pro is not marked open weight; Qwen3.7 Plus is not marked open weight.

Can GPT-5.2 Pro and Qwen3.7 Plus understand images?+

GPT-5.2 Pro is documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-5.2 Pro or Qwen3.7 Plus?+

Qwen3.7 Plus has the larger sourced maximum output: GPT-5.2 Pro supports 128K and Qwen3.7 Plus supports 131K output tokens.

Do GPT-5.2 Pro and Qwen3.7 Plus support reasoning and tool use?+

GPT-5.2 Pro: reasoning, tool calling, and image input. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-5.2 Pro or Qwen3.7 Plus?+

GPT-5.2 Pro has 2 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.

Which offers better value, GPT-5.2 Pro or Qwen3.7 Plus?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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