Hy3 vs GLM 5.2
At a Glance
| Compare |  Hy3Tencent |  GLM 5.2Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #23 of 4661.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 41.3–74.6 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #12 of 44$0.056 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #7 of 3861.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 51.0–67.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.13Deepinfra ↗ · Sep 22, 2026 | $0.75Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.528Openrouter ↗ · Sep 22, 2026 | $2.40Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 262K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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 | Hy3 | GLM-5.2 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -5.2391% of row best · score · Hy3; 95% CI [-6.39472360, -4.07137134]; sessions 27371; observations 992576; rank 35 | 4.37100% of row best · score · GLM 5.2 (Max); 95% CI [3.67608698, 5.05982987]; sessions 76766; observations 4943866; rank 14 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,440.5898% of row best · rating · hy3; 95% CI [1433.39024152, 1447.77894384]; votes 8047; rank 65 | 1,466.93100% of row best · rating · glm-5.2-max; 95% CI [1462.35303996, 1471.51268346]; votes 36798; rank 29 |
| 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 | Hy3 | GLM-5.2 |
|---|---|---|
| Developer | Tencent | Z.ai |
| Family | Hy3 | Glm 5 2 |
| Model | Hy3 | GLM-5.2 |
| Version | Hy3 | GLM-5.2 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 1,049K |
| Total parameters | 298.8B | 753.3B |
| Active parameters | 21B | Unknown |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Hy3 Capabilities
GLM 5.2 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Hy3 vs GLM 5.2 FAQs
Is Hy3 or GLM 5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Hy3 and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Hy3 or GLM 5.2?+
Hy3 is $0.13 and GLM 5.2 is $0.75 per million tokens, so Hy3 is cheaper on this metric. Hy3 is $0.528 and GLM 5.2 is $2.40 per million tokens, so Hy3 is cheaper on this metric.
Which has a larger context window, Hy3 or GLM 5.2?+
GLM 5.2 has the larger sourced context window. Hy3 supports 262K and GLM 5.2 supports 1,049K.
Which performs better in benchmarks, Hy3 or GLM 5.2?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Hy3 or GLM 5.2 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Hy3 is open weight; GLM 5.2 is open weight.
Can Hy3 and GLM 5.2 understand images?+
Hy3 is not documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Hy3 or GLM 5.2?+
Neither has a larger sourced maximum output. Hy3 is — and GLM 5.2 is —.
Do Hy3 and GLM 5.2 support reasoning and tool use?+
Hy3: tool calling. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Hy3 or GLM 5.2?+
Hy3 has 3 sourced provider routes; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.
Which offers better value, Hy3 or GLM 5.2?+
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.