Hy4 preview vs GLM 5.3
At a Glance
| Compare |  Hy4 previewTencent |  GLM 5.3Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | UnrankedNot in the 57-model eligible cohort | #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 | $0.834Deepinfra ↗ · Oct 19, 2026 | $0.90Deepinfra ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | $2.501Deepinfra ↗ · Oct 19, 2026 | $4.00Deepinfra ↗ · Oct 19, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,000K |
| Model facts checked | Sep 2, 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
Side-by-Side Facts
| Field | Hy4 preview | GLM-5.3 |
|---|---|---|
| Developer | Tencent | Z.ai |
| Family | Hy4 | Glm 5 3 |
| Model | Hy4 preview | GLM-5.3 |
| Version | Hy4 preview | GLM-5.3 |
| Lifecycle | preview | active |
| Released | 2026-08-28 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| Total parameters | 770B | Unknown |
| Active parameters | 49B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, reasoning, structured_outputs, tools |
Hy4 preview Capabilities
GLM 5.3 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Hy4 preview vs GLM 5.3 FAQs
Is Hy4 preview or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Hy4 preview and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Hy4 preview or GLM 5.3?+
Hy4 preview is $0.834 and GLM 5.3 is $0.90 per million tokens, so Hy4 preview is cheaper on this metric. Hy4 preview is $2.501 and GLM 5.3 is $4.00 per million tokens, so Hy4 preview is cheaper on this metric.
Which has a larger context window, Hy4 preview or GLM 5.3?+
Both models have the same sourced context window: 1,000,000 tokens each.
Which performs better in benchmarks, Hy4 preview 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 Hy4 preview or GLM 5.3 be self-hosted?+
Hy4 preview is documented as self-hostable; GLM 5.3 is documented as not self-hostable. Hy4 preview is open weight; GLM 5.3 is not marked open weight.
Can Hy4 preview and GLM 5.3 understand images?+
Hy4 preview is not 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, Hy4 preview or GLM 5.3?+
GLM 5.3 has a sourced maximum output of 131,072 tokens; Hy4 preview's maximum output is not reported. A larger limit cannot be determined.
Do Hy4 preview and GLM 5.3 support reasoning and tool use?+
Hy4 preview: reasoning and tool calling. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Hy4 preview or GLM 5.3?+
Hy4 preview has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Hy4 preview 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.