Claude Haiku 4.5 vs GLM 5.2
At a Glance
| Compare | Claude Haiku 4.5Anthropic |  GLM 5.2Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3 | #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 | $1.00Anthropic ↗ · Sep 3, 2026 | $0.75Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $2.40Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 200K | 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 | Claude Haiku 4.5 | GLM-5.2 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,396.6495% of row best · rating · claude-haiku-4-5-20251001; 95% CI [1394.12644647, 1399.14715328]; votes 129278; rank 147 | 1,466.93100% of row best · rating · glm-5.2-max; 95% CI [1462.35303996, 1471.51268346]; votes 36798; rank 29 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 75.1591% of row best · points · Claude Haiku 4.5 · 10,996 output tokens / case | 82.14100% of row best · points · GLM-5.2 · 5,633 output tokens / case |
| 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 | Claude Haiku 4.5 | GLM-5.2 |
|---|---|---|
| Developer | Anthropic | Z.ai |
| Family | Claude 4 5 | Glm 5 2 |
| Model | Claude Haiku 4.5 | GLM-5.2 |
| Version | Claude Haiku 4.5 | GLM-5.2 |
| Lifecycle | active | active |
| Released | 2025-10-15 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 200K | 1,049K |
| Total parameters | Unknown | 753.3B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Claude Haiku 4.5 Capabilities
GLM 5.2 Capabilities
Related Comparisons
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|---|---|---|---|
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Claude Fable 5.1Anthropic | vs | Claude Haiku 4.5Anthropic | family variantsimage, text |
Claude Haiku 4.5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Haiku 4.5Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Haiku 4.5Anthropic | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs | GLM-5.3Z.ai | cross-developer peerstext |
Claude Haiku 4.5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Haiku 4.5Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Haiku 4.5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs GLM 5.2 FAQs
Is Claude Haiku 4.5 or GLM 5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Haiku 4.5 or GLM 5.2?+
Claude Haiku 4.5 is $1.00 and GLM 5.2 is $0.75 per million tokens, so GLM 5.2 is cheaper on this metric. Claude Haiku 4.5 is $5.00 and GLM 5.2 is $2.40 per million tokens, so GLM 5.2 is cheaper on this metric.
Which has a larger context window, Claude Haiku 4.5 or GLM 5.2?+
GLM 5.2 has the larger sourced context window. Claude Haiku 4.5 supports 200K and GLM 5.2 supports 1,049K.
Which performs better in benchmarks, Claude Haiku 4.5 or GLM 5.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Haiku 4.5 or GLM 5.2 be self-hosted?+
GLM 5.2 is the only model in this pair currently marked as self-hostable. Claude Haiku 4.5 is not marked open weight; GLM 5.2 is open weight.
Can Claude Haiku 4.5 and GLM 5.2 understand images?+
Claude Haiku 4.5 is 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, Claude Haiku 4.5 or GLM 5.2?+
Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64K and GLM 5.2 is —.
Do Claude Haiku 4.5 and GLM 5.2 support reasoning and tool use?+
Claude Haiku 4.5: reasoning, tool calling, and image input. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Haiku 4.5 or GLM 5.2?+
Claude Haiku 4.5 has 2 sourced provider routes; GLM 5.2 has 5, so GLM 5.2 has broader tracked availability.
Which offers better value, Claude Haiku 4.5 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.