DeepSeek V4 Pro 0813 vs GLM 5.3
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  GLM 5.3Z.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | UnrankedNot in the 57-model eligible cohort | #14 of 5771.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 47.9–81.3 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 27-model eligible cohort | #22 of 27$0.248 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot in the 27-model eligible cohort | #19 of 2745.9 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.9–50.6 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.30Deepinfra ↗ · Oct 20, 2026 | $0.90Deepinfra ↗ · Oct 20, 2026 |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Oct 20, 2026 | $4.00Deepinfra ↗ · Oct 20, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 29, 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-Pro-0813 | GLM-5.3 |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader | 1,445.5598% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1438.98161909, 1452.11869256]; votes 9800; rank 61 | 1,471.46100% of row best · rating · glm-5.3-max; 95% CI [1466.26042381, 1476.65163576]; votes 22543; rank 27 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 81.91100% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case | 79.1597% of row best · percent · glm-5.3 · 62,090 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 80.1297% of row best · points · DeepSeek V4 Pro 0813 (max) · 34,473 output tokens / case | 82.39100% of row best · points · GLM-5.3 (max) · 50,208 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo 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 | DeepSeek-V4-Pro-0813 | GLM-5.3 |
|---|---|---|
| Developer | DeepSeek | Z.ai |
| Family | Deepseek V4 Pro | Glm 5 3 |
| Model | DeepSeek-V4-Pro-0813 | GLM-5.3 |
| Version | DeepSeek-V4-Pro-0813 | GLM-5.3 |
| Lifecycle | active | active |
| Released | 2026-08-13 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | 1.6T | Unknown |
| Active parameters | 49B | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | agents, chat, reasoning, structured_outputs, tools |
DeepSeek V4 Pro 0813 Capabilities
GLM 5.3 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-Pro-0813DeepSeek | vs | GLM-5.2Z.ai | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | DeepSeek-V4-Pro-BaseDeepSeek | family variantstext |
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Kimi K2.7 CodeMoonshot AI | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | cross-developer peerstext | |
DeepSeek-V4-Pro-0813DeepSeek | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs GLM 5.3 FAQs
Is DeepSeek V4 Pro 0813 or GLM 5.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and GLM 5.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro 0813 or GLM 5.3?+
DeepSeek V4 Pro 0813 is $1.30 and GLM 5.3 is $0.90 per million tokens, so GLM 5.3 is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and GLM 5.3 is $4.00 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro 0813 or GLM 5.3?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,048,576 tokens and GLM 5.3 supports 1,000,000 tokens.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 or GLM 5.3?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can DeepSeek V4 Pro 0813 or GLM 5.3 be self-hosted?+
DeepSeek V4 Pro 0813 is documented as self-hostable; GLM 5.3 is documented as not self-hostable. DeepSeek V4 Pro 0813 is open weight; GLM 5.3 is not marked open weight.
Can DeepSeek V4 Pro 0813 and GLM 5.3 understand images?+
DeepSeek V4 Pro 0813 is not 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, DeepSeek V4 Pro 0813 or GLM 5.3?+
GLM 5.3 has a sourced maximum output of 131,072 tokens; DeepSeek V4 Pro 0813's maximum output is not reported. A larger limit cannot be determined.
Do DeepSeek V4 Pro 0813 and GLM 5.3 support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. GLM 5.3: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro 0813 or GLM 5.3?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; GLM 5.3 has 4, so GLM 5.3 has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 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.