Qwen3.5 397B A17B vs GLM 5.3 Flash

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#2 of 44$0.0087 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra · Sep 21, 2026$0.075Z.ai · Aug 29, 2026
Output priceFrom · USD / 1M tokens$3.00Deepinfra · Sep 21, 2026$0.25Z.ai · Aug 29, 2026
Context windowMaximum documented tokens262K1,000K
Model facts checkedAug 28, 2026View model evidence →Sep 2, 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 →
BenchmarkQwen3.5-397B-A17BGLM-5.3-Flash
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,438.2698% of row best · rating · qwen3.5-397b-a17b; 95% CI [1434.97391785, 1441.55191176]; votes 77007; rank 711,471.89100% of row best · rating · glm-5.3-flash; 95% CI [1465.37026588, 1478.41920488]; votes 10038; rank 24
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,265.1597% of row best · rating · qwen3.5-397b-a17b; 95% CI [1259.44632362, 1270.86149272]; votes 27569; rank 421,298.71100% of row best · rating · glm-5.3-flash; 95% CI [1287.06707337, 1310.34654848]; votes 3110; rank 17
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner2 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

FieldQwen3.5-397B-A17BGLM-5.3-Flash
DeveloperQwenZ.ai
FamilyQwen3 5 397b A17bGlm 5 3 Flash
ModelQwen3.5-397B-A17BGLM-5.3-Flash
VersionQwen3.5-397B-A17BGLM-5.3-Flash
Lifecycleactiveactive
Released2026-02-152026-09-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video, Document
Output modalitiesTextText
Context window262K1,000K
Total parameters403.4B320B
Active parameters17B18B
Licenseapache-2.0MIT
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, computer-use, reasoning, structured_outputs, tools, vision

Qwen3.5 397B A17B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-397B-A17B

GLM 5.3 Flash Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDzai-org/glm-5.3-flash

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs GLM 5.3 Flash FAQs

Is Qwen3.5 397B A17B or GLM 5.3 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or GLM 5.3 Flash?+

Qwen3.5 397B A17B is $0.45 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. Qwen3.5 397B A17B is $3.00 and GLM 5.3 Flash is $0.25 per million tokens, so GLM 5.3 Flash is cheaper on this metric.

Which has a larger context window, Qwen3.5 397B A17B or GLM 5.3 Flash?+

GLM 5.3 Flash has the larger sourced context window. Qwen3.5 397B A17B supports 262K and GLM 5.3 Flash supports 1,000K.

Which performs better in benchmarks, Qwen3.5 397B A17B or GLM 5.3 Flash?+

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

Can Qwen3.5 397B A17B or GLM 5.3 Flash be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3.5 397B A17B is open weight; GLM 5.3 Flash is open weight.

Can Qwen3.5 397B A17B and GLM 5.3 Flash understand images?+

Qwen3.5 397B A17B is documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 397B A17B or GLM 5.3 Flash?+

Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and GLM 5.3 Flash is 131K.

Do Qwen3.5 397B A17B and GLM 5.3 Flash support reasoning and tool use?+

Qwen3.5 397B A17B: reasoning, tool calling, and image input. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 397B A17B or GLM 5.3 Flash?+

Qwen3.5 397B A17B has 4 sourced provider routes; GLM 5.3 Flash has 4, a tie.

Which offers better value, Qwen3.5 397B A17B or GLM 5.3 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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