DeepSeek V4 Flash vs GLM 5.3 Flash
At a Glance
| Compare | DeepSeek V4 FlashDeepSeek | GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | UnrankedNot in the 57-model eligible cohort | #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 | UnrankedNot in the 27-model eligible cohort | #2 of 27$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot in the 27-model eligible cohort | #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 | $0.0868Openrouter ↗ · Aug 28, 2026 | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.1736Openrouter ↗ · Aug 28, 2026 | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Aug 28, 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 | DeepSeek-V4-Flash | GLM-5.3-Flash |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader | 1,431.8497% of row best · rating · deepseek-v4-flash; 95% CI [1427.81979734, 1435.85552908]; votes 51987; rank 92 | 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 | 69.6795% of row best · percent · deepseek-v4-flash · 34,434 output tokens / case | 73.27100% of row best · percent · glm-5.3-flash · 34,707 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.
Side-by-Side Facts
| Field | DeepSeek-V4-Flash | GLM-5.3-Flash |
|---|---|---|
| Developer | DeepSeek | Z.ai |
| Family | Deepseek V4 Flash | Glm 5 3 Flash |
| Model | DeepSeek-V4-Flash | GLM-5.3-Flash |
| Version | DeepSeek-V4-Flash | GLM-5.3-Flash |
| Lifecycle | retired | active |
| Released | 2026-04-24 | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | 290.9B | 320B |
| Active parameters | 13B | 18B |
| License | mit | MIT |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
DeepSeek V4 Flash Capabilities
GLM 5.3 Flash Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash vs GLM 5.3 Flash FAQs
Is DeepSeek V4 Flash or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash or GLM 5.3 Flash?+
DeepSeek V4 Flash is $0.0868 and GLM 5.3 Flash is $0.075 per million tokens, so GLM 5.3 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and GLM 5.3 Flash is $0.25 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Flash or GLM 5.3 Flash?+
DeepSeek V4 Flash has the larger sourced context window. DeepSeek V4 Flash supports 1,048,576 tokens and GLM 5.3 Flash supports 1,000,000 tokens.
Which performs better in benchmarks, DeepSeek V4 Flash or GLM 5.3 Flash?+
GLM 5.3 Flash leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can DeepSeek V4 Flash or GLM 5.3 Flash be self-hosted?+
Both models have the same sourced self-hosting status: supported. DeepSeek V4 Flash is open weight; GLM 5.3 Flash is open weight.
Can DeepSeek V4 Flash and GLM 5.3 Flash understand images?+
DeepSeek V4 Flash 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, DeepSeek V4 Flash or GLM 5.3 Flash?+
GLM 5.3 Flash has a sourced maximum output of 131,072 tokens; DeepSeek V4 Flash's maximum output is not reported. A larger limit cannot be determined.
Do DeepSeek V4 Flash and GLM 5.3 Flash support reasoning and tool use?+
DeepSeek V4 Flash: reasoning. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash or GLM 5.3 Flash?+
DeepSeek V4 Flash has 5 sourced provider routes; GLM 5.3 Flash has 4, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Flash 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.