Qwen3.8 27B vs GPT-6 Astra

Model Markets Rankings

Intelligence, Cost, and Efficiency

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RankingQwen3.8-27BGPT-6 Astra
CostLower is better · Published-token output estimate#16 of 36$0.086 per LiveBench caseUnrankedNot in the 36-model eligible cohort

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
Qwen · activeQwen3.8 27BVerified Aug 28, 2026
OpenAI · activeGPT-6 AstraVerified Sep 4, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldQwen3.8-27BGPT-6 Astra
DeveloperQwenOpenAI
FamilyQwen3 8 27bGpt 6
ModelQwen3.8-27BGPT-6 Astra
VersionQwen3.8-27BGPT-6 Astra
Lifecycleactiveactive
ReleasedUnknown2026-09-03
Knowledge cutoffUnknown2026-04-30
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K1,050K
Total parameters27.8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Openai (Standard)
Capabilitieschat, generation, reasoning, toolschat, computer-use, generation, reasoning, research, tools

13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Qwen3.8 27B Capabilities

chatgenerationreasoningtools
Input price$0.40
Output price$3.00
Serving providers3
Canonical IDQwen/Qwen3.8-27B

GPT-6 Astra Capabilities

chatcomputer-usegenerationreasoningresearchtools
Input price$10.00
Output price$50.00
Serving providers1
Canonical IDopenai/gpt-6-astra

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Qwen3.8 27B vs GPT-6 Astra FAQs

Is Qwen3.8 27B or GPT-6 Astra better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and GPT-6 Astra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 27B or GPT-6 Astra?+

Qwen3.8 27B is $0.40 and GPT-6 Astra is $10.00 per million tokens, so Qwen3.8 27B is cheaper on this metric. Qwen3.8 27B is $3.00 and GPT-6 Astra is $50.00 per million tokens, so Qwen3.8 27B is cheaper on this metric.

Which has a larger context window, Qwen3.8 27B or GPT-6 Astra?+

GPT-6 Astra has the larger sourced context window. Qwen3.8 27B supports 262K and GPT-6 Astra supports 1,050K.

Which performs better in benchmarks, Qwen3.8 27B or GPT-6 Astra?+

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

Can Qwen3.8 27B or GPT-6 Astra be self-hosted?+

Qwen3.8 27B is the only model in this pair currently marked as self-hostable. Qwen3.8 27B is open weight; GPT-6 Astra is not marked open weight.

Can Qwen3.8 27B and GPT-6 Astra understand images?+

Qwen3.8 27B is documented with image input; GPT-6 Astra is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 27B or GPT-6 Astra?+

Qwen3.8 27B has the larger sourced maximum output: Qwen3.8 27B supports 131K and GPT-6 Astra supports 128K output tokens.

Do Qwen3.8 27B and GPT-6 Astra support reasoning and tool use?+

Qwen3.8 27B: reasoning, tool calling, and image input. GPT-6 Astra: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 27B or GPT-6 Astra?+

Qwen3.8 27B has 3 sourced provider routes; GPT-6 Astra has 1, so Qwen3.8 27B has broader tracked availability.

Which offers better value, Qwen3.8 27B or GPT-6 Astra?+

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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