Qwen3.7 Plus vs GLM 5.3

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4#17 of 5763.3 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 21.1–87.8#14 of 5771.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 47.9–81.3
CostLower is better · Published-token output estimateUnrankedNot in the 27-model eligible cohort#22 of 27$0.248 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.9UnrankedNot in the 27-model eligible cohort#19 of 2745.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.9–50.6
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.32Openrouter ↗ · Oct 19, 2026$0.90Deepinfra ↗ · Oct 19, 2026
Output priceFrom · USD / 1M tokens$1.28Openrouter ↗ · Oct 19, 2026$4.00Deepinfra ↗ · Oct 19, 2026
Context windowMaximum documented tokens1,000K1,000K
Model facts checkedAug 29, 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 →
BenchmarkQwen3.7-PlusGLM-5.3
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader1,454.5899% of row best · rating · qwen3.7-plus; 95% CI [1450.26283424, 1458.90144791]; votes 42075; rank 461,471.46100% of row best · rating · glm-5.3-max; 95% CI [1466.26042381, 1476.65163576]; votes 22543; rank 27
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner1 benchmark winNo 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

FieldQwen3.7-PlusGLM-5.3
DeveloperQwenZ.ai
FamilyQwen3 7 PlusGlm 5 3
ModelQwen3.7-PlusGLM-5.3
VersionQwen3.7-PlusGLM-5.3
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText
Output modalitiesTextText
Context window1,000K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAlibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard)
Capabilitiesagents, chat, computer-use, reasoning, structured_outputs, tools, visionagents, chat, reasoning, structured_outputs, tools

Qwen3.7 Plus Capabilities

agentschatcomputer-usereasoningstructured outputstoolsvision
Serving providers4
Canonical IDqwen/qwen3.7-plus

GLM 5.3 Capabilities

agentschatreasoningstructured outputstools
Serving providers4
Canonical IDzai-org/glm-5.3

Primary Evidence

Sources and Freshness

Questions

Qwen3.7 Plus vs GLM 5.3 FAQs

Is Qwen3.7 Plus or GLM 5.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.7 Plus and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.7 Plus or GLM 5.3?+

Qwen3.7 Plus is $0.32 and GLM 5.3 is $0.90 per million tokens, so Qwen3.7 Plus is cheaper on this metric. Qwen3.7 Plus is $1.28 and GLM 5.3 is $4.00 per million tokens, so Qwen3.7 Plus is cheaper on this metric.

Which has a larger context window, Qwen3.7 Plus or GLM 5.3?+

Both models have the same sourced context window: 1,000,000 tokens each.

Which performs better in benchmarks, Qwen3.7 Plus or GLM 5.3?+

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

Can Qwen3.7 Plus or GLM 5.3 be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. Qwen3.7 Plus is not marked open weight; GLM 5.3 is not marked open weight.

Can Qwen3.7 Plus and GLM 5.3 understand images?+

Qwen3.7 Plus is documented with image input; GLM 5.3 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.7 Plus or GLM 5.3?+

Both models have the same sourced maximum output: 131,072 tokens each.

Do Qwen3.7 Plus and GLM 5.3 support reasoning and tool use?+

Qwen3.7 Plus: reasoning, tool calling, and image input. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.7 Plus or GLM 5.3?+

Qwen3.7 Plus has 4 sourced provider routes; GLM 5.3 has 4, a tie.

Which offers better value, Qwen3.7 Plus or GLM 5.3?+

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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