Qwen3.7 Plus vs GLM 5.3
At a Glance
| Compare | Qwen3.7 PlusQwen | GLM 5.3Z.ai |
|---|---|---|
| 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 estimate | UnrankedNot in the 27-model eligible cohort | #22 of 27$0.248 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot 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 tokens | 1,000K | 1,000K |
| Model facts checked | Aug 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
| Benchmark | Qwen3.7-Plus | GLM-5.3 |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader | 1,454.5899% of row best · rating · qwen3.7-plus; 95% CI [1450.26283424, 1458.90144791]; votes 42075; rank 46 | 1,471.46100% 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 above | 0 benchmark winsNo overall winner | 1 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
| Field | Qwen3.7-Plus | GLM-5.3 |
|---|---|---|
| Developer | Qwen | Z.ai |
| Family | Qwen3 7 Plus | Glm 5 3 |
| Model | Qwen3.7-Plus | GLM-5.3 |
| Version | Qwen3.7-Plus | GLM-5.3 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | agents, chat, computer-use, reasoning, structured_outputs, tools, vision | agents, chat, reasoning, structured_outputs, tools |
Qwen3.7 Plus Capabilities
GLM 5.3 Capabilities
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.