GPT-5.4 Nano vs GLM 5.3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | GPT-5.4 Nano | GLM-5.3 |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | #22 of 2214.7 score | UnrankedNot in the 22-model eligible cohort |
| CostLower is better · Published-token output estimate | #13 of 36$0.058 per LiveBench case | #28 of 36$0.248 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.0 | #21 of 2235.3 score | UnrankedNot in the 22-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | GPT-5.4 Nano | GLM-5.3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,372.8793% of row best · rating · gpt-5.4-nano-high; 95% CI [1369.01004978, 1376.72255426]; votes 58562; rank 163 | 1,474.49100% of row best · rating · glm-5.3-max; 95% CI [1467.12172899, 1481.86064533]; votes 7401; rank 18 |
| LiveBench2026-06-25 · overall · leader | 75.2795% of row best · percent · gpt-5.4-nano-xhigh · 46,179 output tokens / case | 79.15100% of row best · percent · glm-5.3 · 62,090 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 2 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | GPT-5.4 Nano | GLM-5.3 |
|---|---|---|
| Developer | OpenAI | Z.ai |
| Family | Gpt 5 4 | Glm 5 3 |
| Model | GPT-5.4 Nano | GLM-5.3 |
| Version | GPT-5.4 Nano | GLM-5.3 |
| Lifecycle | active | active |
| Released | 2026-03-17 | Unknown |
| Knowledge cutoff | 2025-08-31 | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 400K | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, reasoning, structured_outputs, tools |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
GPT-5.4 Nano Capabilities
GLM 5.3 Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
GPT-5.4 Nano vs GLM 5.3 FAQs
Is GPT-5.4 Nano or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.4 Nano and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.4 Nano or GLM 5.3?+
GPT-5.4 Nano is $0.20 and GLM 5.3 is $1.20 per million tokens, so GPT-5.4 Nano is cheaper on this metric. GPT-5.4 Nano is $1.25 and GLM 5.3 is $4.00 per million tokens, so GPT-5.4 Nano is cheaper on this metric.
Which has a larger context window, GPT-5.4 Nano or GLM 5.3?+
GLM 5.3 has the larger sourced context window. GPT-5.4 Nano supports 400K and GLM 5.3 supports 1,000K.
Which performs better in benchmarks, GPT-5.4 Nano or GLM 5.3?+
GLM 5.3 leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can GPT-5.4 Nano or GLM 5.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.4 Nano is not marked open weight; GLM 5.3 is not marked open weight.
Can GPT-5.4 Nano and GLM 5.3 understand images?+
GPT-5.4 Nano is 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, GPT-5.4 Nano or GLM 5.3?+
GLM 5.3 has the larger sourced maximum output: GPT-5.4 Nano supports 128K and GLM 5.3 supports 131K output tokens.
Do GPT-5.4 Nano and GLM 5.3 support reasoning and tool use?+
GPT-5.4 Nano: reasoning, tool calling, and image input. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.4 Nano or GLM 5.3?+
GPT-5.4 Nano has 2 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, GPT-5.4 Nano 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.