GPT-5 Pro vs Qwen3.8 Max

Model Markets Rankings

Intelligence, Cost, and Efficiency

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RankingGPT-5 ProQwen3.8-Max
CostLower is better · Published-token output estimateUnrankedNot in the 36-model eligible cohort#19 of 36$0.107 per LiveBench case

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
OpenAI · activeGPT-5 ProVerified Sep 3, 2026
Qwen · activeQwen3.8 MaxVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGPT-5 ProQwen3.8-Max
DeveloperOpenAIQwen
FamilyGpt 5Qwen3 8 Max
ModelGPT-5 ProQwen3.8-Max
VersionGPT-5 ProQwen3.8-Max
Lifecycleactiveactive
Released2025-10-06Unknown
Knowledge cutoff2024-09-30Unknown
Input modalitiesText, ImageText, Image, Video
Output modalitiesTextText
Context window400K1,000K
Total parametersUnknown2.4T
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessOpenai (Standard), Openrouter (Standard)Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolsagents, chat, reasoning, structured_outputs, tools, vision

13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate

GPT-5 Pro Capabilities

chatgenerationreasoningstructured outputstools
Input price$7.50
Output price$60.00
Serving providers2
Canonical IDopenai/gpt-5-pro

Qwen3.8 Max Capabilities

agentschatreasoningstructured outputstoolsvision
Input price$1.65
Output price$4.951
Serving providers4
Canonical IDqwen/qwen3.8-max

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

GPT-5 Pro vs Qwen3.8 Max FAQs

Is GPT-5 Pro or Qwen3.8 Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5 Pro and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-5 Pro or Qwen3.8 Max?+

GPT-5 Pro is $7.50 and Qwen3.8 Max is $1.65 per million tokens, so Qwen3.8 Max is cheaper on this metric. GPT-5 Pro is $60.00 and Qwen3.8 Max is $4.951 per million tokens, so Qwen3.8 Max is cheaper on this metric.

Which has a larger context window, GPT-5 Pro or Qwen3.8 Max?+

Qwen3.8 Max has the larger sourced context window. GPT-5 Pro supports 400K and Qwen3.8 Max supports 1,000K.

Which performs better in benchmarks, GPT-5 Pro or Qwen3.8 Max?+

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

Can GPT-5 Pro or Qwen3.8 Max be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. GPT-5 Pro is not marked open weight; Qwen3.8 Max is not marked open weight.

Can GPT-5 Pro and Qwen3.8 Max understand images?+

GPT-5 Pro is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, GPT-5 Pro or Qwen3.8 Max?+

GPT-5 Pro has the larger sourced maximum output: GPT-5 Pro supports 272K and Qwen3.8 Max supports 131K output tokens.

Do GPT-5 Pro and Qwen3.8 Max support reasoning and tool use?+

GPT-5 Pro: reasoning, tool calling, and image input. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-5 Pro or Qwen3.8 Max?+

GPT-5 Pro has 2 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.

Which offers better value, GPT-5 Pro or Qwen3.8 Max?+

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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