GPT-5.2 vs GLM 5
At a Glance
| Compare |  GPT-5.2OpenAI |  GLM 5Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #33 of 4649.3 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #28 of 44$0.161 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #34 of 3844.0 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.75Openai ↗ · Sep 3, 2026 | $0.60Deepinfra ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $14.00Openai ↗ · Sep 3, 2026 | $1.92Openrouter ↗ · Aug 28, 2026 |
| Context windowMaximum documented tokens | 400K | 203K |
| Model facts checked | Sep 3, 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 | GPT-5.2 | GLM-5 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,412.4398% of row best · rating · gpt-5.2; 95% CI [1409.21136225, 1415.65317114]; votes 78967; rank 125 | 1,446.27100% of row best · rating · glm-5; 95% CI [1441.95071870, 1450.59229773]; votes 27605; rank 51 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 78.0894% of row best · points · GPT-5.2 · 4,266 output tokens / case | 82.89100% of row best · points · GLM-5 · 15,496 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 | GPT-5.2 | GLM-5 |
|---|---|---|
| Developer | OpenAI | Z.ai |
| Family | Gpt 5 2 | Glm 5 |
| Model | GPT-5.2 | GLM-5 |
| Version | GPT-5.2 | GLM-5 |
| Lifecycle | active | active |
| Released | 2025-12-11 | Unknown |
| Knowledge cutoff | 2025-08-31 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 400K | 203K |
| Total parameters | Unknown | 753.9B |
| Active parameters | Unknown | Unknown |
| License | Unknown | mit |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Openai (Standard), Openrouter (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
GPT-5.2 Capabilities
GLM 5 Capabilities
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Primary Evidence
Sources and Freshness
Questions
GPT-5.2 vs GLM 5 FAQs
Is GPT-5.2 or GLM 5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.2 and GLM 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.2 or GLM 5?+
GPT-5.2 is $1.75 and GLM 5 is $0.60 per million tokens, so GLM 5 is cheaper on this metric. GPT-5.2 is $14.00 and GLM 5 is $1.92 per million tokens, so GLM 5 is cheaper on this metric.
Which has a larger context window, GPT-5.2 or GLM 5?+
GPT-5.2 has the larger sourced context window. GPT-5.2 supports 400K and GLM 5 supports 203K.
Which performs better in benchmarks, GPT-5.2 or GLM 5?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can GPT-5.2 or GLM 5 be self-hosted?+
GLM 5 is the only model in this pair currently marked as self-hostable. GPT-5.2 is not marked open weight; GLM 5 is open weight.
Can GPT-5.2 and GLM 5 understand images?+
GPT-5.2 is documented with image input; GLM 5 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.2 or GLM 5?+
Neither has a larger sourced maximum output. GPT-5.2 is 128K and GLM 5 is —.
Do GPT-5.2 and GLM 5 support reasoning and tool use?+
GPT-5.2: reasoning, tool calling, and image input. GLM 5: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.2 or GLM 5?+
GPT-5.2 has 2 sourced provider routes; GLM 5 has 4, so GLM 5 has broader tracked availability.
Which offers better value, GPT-5.2 or GLM 5?+
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.