Hy3 vs GLM 5.3
At a Glance
| Compare |  Hy3Tencent |  GLM 5.3Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #16 of 4670.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.9–80.3 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #34 of 44$0.248 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #26 of 3850.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 38.2–54.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.13Deepinfra ↗ · Sep 22, 2026 | $1.20Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.528Openrouter ↗ · Sep 22, 2026 | $4.00Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 262K | 1,000K |
| Model facts checked | Aug 28, 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 | Hy3 | GLM-5.3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -5.2392% of row best · score · Hy3; 95% CI [-6.39472360, -4.07137134]; sessions 27371; observations 992576; rank 35 | 3.05100% of row best · score · GLM 5.3 (Max); 95% CI [2.43618871, 3.66634458]; sessions 73287; observations 6652488; rank 18 |
| 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 | 1,475.08100% of row best · rating · glm-5.3-max; 95% CI [1468.67816284, 1481.48915679]; votes 10960; rank 20 |
| 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-5.3 |
|---|---|---|
| Developer | Tencent | Z.ai |
| Family | Hy3 | Glm 5 3 |
| Model | Hy3 | GLM-5.3 |
| Version | Hy3 | GLM-5.3 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 298.8B | Unknown |
| Active parameters | 21B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, tools | agents, chat, reasoning, structured_outputs, tools |
Hy3 Capabilities
GLM 5.3 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Hy3Tencent | vs | GLM-5.2Z.ai | cross-developer peerstext |
 GPT-6 AstraOpenAI | vs | Hy3Tencent | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Hy3Tencent | cross-developer peerstext |
 Gemini 3.1 ProGoogle DeepMind | vs | Hy3Tencent | cross-developer peerstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Hy3Tencent | cross-developer peerstext |
Hy3Tencent | vs | Grok 4.6xAI | cross-developer peerstext |
 Qwen3.8-MaxQwen | vs | Hy3Tencent | cross-developer peerstext |
 Kimi-K3Moonshot AI | vs | Hy3Tencent | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Hy3Tencent | cross-developer peerstext |
Hy3Tencent | vs | Hy4 previewTencent | family variantstext |
Seed 2.1 ProByteDance Seed | vs | Hy3Tencent | cross-developer peerstext |
 Mistral Large 3Mistral AI | vs | Hy3Tencent | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Hy3 vs GLM 5.3 FAQs
Is Hy3 or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Hy3 and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Hy3 or GLM 5.3?+
Hy3 is $0.0825 and GLM 5.3 is $1.20 per million tokens, so Hy3 is cheaper on this metric. Hy3 is $0.33 and GLM 5.3 is $4.00 per million tokens, so Hy3 is cheaper on this metric.
Which has a larger context window, Hy3 or GLM 5.3?+
GLM 5.3 has the larger sourced context window. Hy3 supports 262K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, Hy3 or GLM 5.3?+
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 5.3 be self-hosted?+
Hy3 is the only model in this pair currently marked as self-hostable. Hy3 is open weight; GLM 5.3 is not marked open weight.
Can Hy3 and GLM 5.3 understand images?+
Hy3 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, Hy3 or GLM 5.3?+
Neither has a larger sourced maximum output. Hy3 is — and GLM 5.3 is 131K.
Do Hy3 and GLM 5.3 support reasoning and tool use?+
Hy3: tool calling. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Hy3 or GLM 5.3?+
Hy3 has 3 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, Hy3 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.