Qwen3.8 27B vs GPT-4.1 Mini

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#30 of 4654.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.0–69.4UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#16 of 44$0.072 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#17 of 3854.8 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 45.8–62.5UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.20Deepinfra · Sep 22, 2026$0.20Openrouter · Sep 3, 2026
Output priceFrom · USD / 1M tokens$2.50Deepinfra · Sep 22, 2026$0.80Openrouter · Sep 3, 2026
Context windowMaximum documented tokens262K1,048K
Model facts checkedAug 28, 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 →
BenchmarkQwen3.8-27BGPT-4.1 Mini
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,439.27100% of row best · rating · qwen3.8-27b; 95% CI [1432.84410050, 1445.69542028]; votes 10697; rank 681,340.2193% of row best · rating · gpt-4.1-mini-2025-04-14; 95% CI [1335.90652651, 1344.51787032]; votes 38631; rank 199
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,272.12100% of row best · rating · qwen3.8-27b; 95% CI [1262.21853873, 1282.01179703]; votes 4577; rank 351,181.0693% of row best · rating · gpt-4.1-mini-2025-04-14; 95% CI [1173.58575943, 1188.53044654]; votes 40274; rank 88
Overall ResultCounted from the protocol-matched rows above2 benchmark winsNo overall winner0 benchmark winsNo overall winner

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

Side-by-Side Facts

FieldQwen3.8-27BGPT-4.1 Mini
DeveloperQwenOpenAI
FamilyQwen3 8 27bGpt 4 1
ModelQwen3.8-27BGPT-4.1 Mini
VersionQwen3.8-27BGPT-4.1 Mini
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknown2024-06-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K1,048K
Total parameters27.8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Openai (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, tools

Qwen3.8 27B Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDQwen/Qwen3.8-27B

GPT-4.1 Mini Capabilities

chatgenerationtools
Serving providers2
Canonical IDopenai/gpt-4.1-mini

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 27B vs GPT-4.1 Mini FAQs

Is Qwen3.8 27B or GPT-4.1 Mini better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and GPT-4.1 Mini, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 27B or GPT-4.1 Mini?+

Qwen3.8 27B is $0.20 and GPT-4.1 Mini is $0.20 per million tokens, so they are tied on this metric. Qwen3.8 27B is $2.50 and GPT-4.1 Mini is $0.80 per million tokens, so GPT-4.1 Mini is cheaper on this metric.

Which has a larger context window, Qwen3.8 27B or GPT-4.1 Mini?+

GPT-4.1 Mini has the larger sourced context window. Qwen3.8 27B supports 262K and GPT-4.1 Mini supports 1,048K.

Which performs better in benchmarks, Qwen3.8 27B or GPT-4.1 Mini?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Qwen3.8 27B or GPT-4.1 Mini 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-4.1 Mini is not marked open weight.

Can Qwen3.8 27B and GPT-4.1 Mini understand images?+

Qwen3.8 27B is documented with image input; GPT-4.1 Mini is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 27B or GPT-4.1 Mini?+

Qwen3.8 27B has the larger sourced maximum output: Qwen3.8 27B supports 131K and GPT-4.1 Mini supports 33K output tokens.

Do Qwen3.8 27B and GPT-4.1 Mini support reasoning and tool use?+

Qwen3.8 27B: reasoning, tool calling, and image input. GPT-4.1 Mini: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 27B or GPT-4.1 Mini?+

Qwen3.8 27B has 3 sourced provider routes; GPT-4.1 Mini has 2, so Qwen3.8 27B has broader tracked availability.

Which offers better value, Qwen3.8 27B or GPT-4.1 Mini?+

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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