Qwen3.7 Plus vs GLM 5.3 Flash
At a Glance
| Compare |  Qwen3.7 PlusQwen |  GLM 5.3 FlashZ.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 | #20 of 5756.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 37.5–70.8 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 27-model eligible cohort | #2 of 27$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot in the 27-model eligible cohort | #2 of 2765.8 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 56.4–73.1 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.32Openrouter ↗ · Oct 19, 2026 | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $1.28Openrouter ↗ · Oct 19, 2026 | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,000K |
| Model facts checked | Aug 29, 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
| Benchmark | Qwen3.7-Plus | GLM-5.3-Flash |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-0ebb411abf00 · arena_rating · leader | 1,454.5899% of row best · rating · qwen3.7-plus; 95% CI [1450.26283424, 1458.90144791]; votes 42075; rank 46 | 1,470.53100% of row best · rating · glm-5.3-flash; 95% CI [1465.67476412, 1475.38456118]; votes 32925; rank 29 |
| LMArena Vision Arenavision-2026-10-09-0ebb411abf00 · arena_rating · leader | 1,279.0799% of row best · rating · qwen3.7-plus; 95% CI [1272.29971328, 1285.84102976]; votes 13636; rank 37 | 1,296.03100% of row best · rating · glm-5.3-flash; 95% CI [1288.97978191, 1303.07121064]; votes 11157; rank 23 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 2 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
| Field | Qwen3.7-Plus | GLM-5.3-Flash |
|---|---|---|
| Developer | Qwen | Z.ai |
| Family | Qwen3 7 Plus | Glm 5 3 Flash |
| Model | Qwen3.7-Plus | GLM-5.3-Flash |
| Version | Qwen3.7-Plus | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| Total parameters | Unknown | 320B |
| Active parameters | Unknown | 18B |
| License | Unknown | MIT |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| 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, computer-use, reasoning, structured_outputs, tools, vision |
Qwen3.7 Plus Capabilities
GLM 5.3 Flash Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
Qwen3.7-PlusQwen | vs | Qwen3.8-MaxQwen | family variantsimage, text, video |
Qwen3.7-PlusQwen | vs | GLM-5.3Z.ai | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
Seed 2.0 ProByteDance Seed | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
 Gemma 4 E2BGoogle DeepMind | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
 Muse Spark 1.3Meta | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
 Kimi K2.7 CodeMoonshot AI | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text, video |
Qwen3 Coder PlusQwen | vs | Qwen3.7-PlusQwen | family variantstext |
Qwen3 VL PlusQwen | vs | Qwen3.7-PlusQwen | family variantsimage, text, video |
Qwen3.7-PlusQwen | vs | Qwen3.8-FlashQwen | family variantsimage, text, video |
Qwen3.7-PlusQwen | vs | GLM-5V-TurboZ.ai | cross-developer peersimage, text, video |
Primary Evidence
Sources and Freshness
Questions
Qwen3.7 Plus vs GLM 5.3 Flash FAQs
Is Qwen3.7 Plus or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.7 Plus and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.7 Plus or GLM 5.3 Flash?+
Qwen3.7 Plus is $0.32 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. Qwen3.7 Plus is $1.28 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, Qwen3.7 Plus or GLM 5.3 Flash?+
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 Flash?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Qwen3.7 Plus or GLM 5.3 Flash be self-hosted?+
GLM 5.3 Flash is documented as self-hostable; Qwen3.7 Plus is documented as not self-hostable. Qwen3.7 Plus is not marked open weight; GLM 5.3 Flash is open weight.
Can Qwen3.7 Plus and GLM 5.3 Flash understand images?+
Qwen3.7 Plus 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, Qwen3.7 Plus or GLM 5.3 Flash?+
Both models have the same sourced maximum output: 131,072 tokens each.
Do Qwen3.7 Plus and GLM 5.3 Flash support reasoning and tool use?+
Qwen3.7 Plus: 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, Qwen3.7 Plus or GLM 5.3 Flash?+
Qwen3.7 Plus has 4 sourced provider routes; GLM 5.3 Flash has 4, a tie.
Which offers better value, Qwen3.7 Plus 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.