Qwen3.8 27B vs Gemini 3.5 Flash

At a Glance

Compare
Gemini 3.5 FlashGoogle DeepMind
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 36.0–69.4#15 of 4672.1 score · 3/3 sources · complete
CostLower is better · Published-token output estimate#16 of 44$0.072 per LiveBench case#25 of 44$0.140 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5#17 of 3854.8 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 45.8–62.5#15 of 3856.8 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.20Deepinfra · Sep 22, 2026$1.50Google AI · Aug 29, 2026
Output priceFrom · USD / 1M tokens$2.50Deepinfra · Sep 22, 2026$9.00Google AI · Aug 29, 2026
Context windowMaximum documented tokens262K1,049K
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 →
BenchmarkQwen3.8-27BGemini 3.5 Flash
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,439.2798% of row best · rating · qwen3.8-27b; 95% CI [1432.84410050, 1445.69542028]; votes 10697; rank 681,475.72100% of row best · rating · gemini-3.5-flash-medium; 95% CI [1471.24691172, 1480.19960285]; votes 36627; rank 19
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,272.1297% of row best · rating · qwen3.8-27b; 95% CI [1262.21853873, 1282.01179703]; votes 4577; rank 351,307.00100% of row best · rating · gemini-3.5-flash-medium; 95% CI [1299.26365925, 1314.72946839]; votes 9618; rank 11
LiveBench2026-06-25 · overall · leader78.0299% of row best · percent · qwen3.8-27b · 28,740 output tokens / case78.84100% of row best · percent · gemini-3.5-flash-high · 15,522 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark wins3 benchmark winsOverall lead

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

FieldQwen3.8-27BGemini 3.5 Flash
DeveloperQwenGoogle DeepMind
FamilyQwen3 8 27bGemini 3
ModelQwen3.8-27BGemini 3.5 Flash
VersionQwen3.8-27BGemini 3.5 Flash
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video, Audio, Document
Output modalitiesTextText
Context window262K1,049K
Total parameters27.8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, tools

Qwen3.8 27B Capabilities

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

Gemini 3.5 Flash Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.5-flash

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 27B vs Gemini 3.5 Flash FAQs

Is Qwen3.8 27B or Gemini 3.5 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and Gemini 3.5 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 27B or Gemini 3.5 Flash?+

Qwen3.8 27B is $0.20 and Gemini 3.5 Flash is $1.50 per million tokens, so Qwen3.8 27B is cheaper on this metric. Qwen3.8 27B is $2.50 and Gemini 3.5 Flash is $9.00 per million tokens, so Qwen3.8 27B is cheaper on this metric.

Which has a larger context window, Qwen3.8 27B or Gemini 3.5 Flash?+

Gemini 3.5 Flash has the larger sourced context window. Qwen3.8 27B supports 262K and Gemini 3.5 Flash supports 1,049K.

Which performs better in benchmarks, Qwen3.8 27B or Gemini 3.5 Flash?+

Gemini 3.5 Flash leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Qwen3.8 27B or Gemini 3.5 Flash be self-hosted?+

Qwen3.8 27B is the only model in this pair currently marked as self-hostable. Qwen3.8 27B is open weight; Gemini 3.5 Flash is not marked open weight.

Can Qwen3.8 27B and Gemini 3.5 Flash understand images?+

Qwen3.8 27B is documented with image input; Gemini 3.5 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 27B or Gemini 3.5 Flash?+

Qwen3.8 27B has the larger sourced maximum output: Qwen3.8 27B supports 131K and Gemini 3.5 Flash supports 66K output tokens.

Do Qwen3.8 27B and Gemini 3.5 Flash support reasoning and tool use?+

Qwen3.8 27B: reasoning, tool calling, and image input. Gemini 3.5 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 27B or Gemini 3.5 Flash?+

Qwen3.8 27B has 3 sourced provider routes; Gemini 3.5 Flash has 2, so Qwen3.8 27B has broader tracked availability.

Which offers better value, Qwen3.8 27B or Gemini 3.5 Flash?+

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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