GLM 5.3 vs GLM 5.3 Flash
At a Glance
| Compare |  GLM 5.3Z.ai | GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #14 of 5771.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 47.9–81.3 | #20 of 5756.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 37.5–70.8 |
| CostLower is better · Published-token output estimate | #22 of 27$0.248 per LiveBench case | #2 of 27$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | #19 of 2745.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.9–50.6 | #2 of 2765.8 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 56.4–73.1 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.90Deepinfra ↗ · Oct 19, 2026 | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $4.00Deepinfra ↗ · Oct 19, 2026 | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,000K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 2, 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 | GLM-5.3 | GLM-5.3-Flash |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · statistical tie | 1,471.46100% of row best · rating · glm-5.3-max; 95% CI [1466.26042381, 1476.65163576]; votes 22543; rank 27 | 1,470.53100% of row best · rating · glm-5.3-flash; 95% CI [1465.67476412, 1475.38456118]; votes 32925; rank 29 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 79.15100% of row best · percent · glm-5.3 · 62,090 output tokens / case | 73.2793% of row best · percent · glm-5.3-flash · 34,707 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 82.39100% of row best · points · GLM-5.3 (max) · 50,208 output tokens / case | 81.8299% of row best · points · GLM-5.3 Flash (max) · 40,301 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winNo overall winner | 0 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.
Quality Versus Estimated Output Cost
Side-by-Side Facts
| Field | GLM-5.3 | GLM-5.3-Flash |
|---|---|---|
| Developer | Z.ai | Z.ai |
| Family | Glm 5 3 | Glm 5 3 Flash |
| Model | GLM-5.3 | GLM-5.3-Flash |
| Version | GLM-5.3 | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | Unknown | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,000K |
| Total parameters | Unknown | 320B |
| Active parameters | Unknown | 18B |
| License | Unknown | MIT |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | agents, chat, reasoning, structured_outputs, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
GLM 5.3 Capabilities
GLM 5.3 Flash Capabilities
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Primary Evidence
Sources and Freshness
Questions
GLM 5.3 vs GLM 5.3 Flash FAQs
Is GLM 5.3 or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GLM 5.3 and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GLM 5.3 or GLM 5.3 Flash?+
GLM 5.3 is $0.90 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. GLM 5.3 is $4.00 and GLM 5.3 Flash is $0.25 per million tokens, so GLM 5.3 Flash is cheaper on this metric.
Which has a larger context window, GLM 5.3 or GLM 5.3 Flash?+
Both models have the same sourced context window: 1,000,000 tokens each.
Which performs better in benchmarks, GLM 5.3 or GLM 5.3 Flash?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can GLM 5.3 or GLM 5.3 Flash be self-hosted?+
GLM 5.3 Flash is documented as self-hostable; GLM 5.3 is documented as not self-hostable. GLM 5.3 is not marked open weight; GLM 5.3 Flash is open weight.
Can GLM 5.3 and GLM 5.3 Flash understand images?+
GLM 5.3 is not documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GLM 5.3 or GLM 5.3 Flash?+
Both models have the same sourced maximum output: 131,072 tokens each.
Do GLM 5.3 and GLM 5.3 Flash support reasoning and tool use?+
GLM 5.3: reasoning and tool calling. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GLM 5.3 or GLM 5.3 Flash?+
GLM 5.3 has 4 sourced provider routes; GLM 5.3 Flash has 4, a tie.
Which offers better value, GLM 5.3 or GLM 5.3 Flash?+
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.