DeepSeek V4 Pro 0813 vs Grok 4.5
At a Glance
| Compare | DeepSeek V4 Pro 0813DeepSeek | Grok 4.5xAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #20 of 4665.0 score · 3/3 sources · complete | #25 of 4660.1 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #20 of 44$0.094 per LiveBench case | #15 of 44$0.063 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #14 of 3857.4 score · 3/3 sources · complete | #11 of 3859.2 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.30Deepinfra ↗ · Sep 22, 2026 | $2.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Sep 22, 2026 | $6.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,049K | 500K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 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 | Grok 4.5 |
|---|---|---|
| ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader | 90.50100% of row best · percent · DeepSeek V4 Pro 0813 (Low) | 87.1796% of row best · percent · Grok 4.5 (Medium) |
| ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader | 61.25100% of row best · percent · DeepSeek V4 Pro 0813 (Max) | 52.6486% of row best · percent · Grok 4.5 (Medium) |
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · statistical tie | 4.14100% of row best · score · DeepSeek V4 Pro (High) (0813); 95% CI [3.35150819, 4.93122185]; sessions 47602; observations 4132769; rank 16 | 2.9299% of row best · score · Grok 4.5; 95% CI [1.93207740, 3.90928463]; sessions 38146; observations 1942877; rank 19 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,443.95100% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 58 | 1,450.13100% of row best · rating · grok-4.5; 95% CI [1445.44268767, 1454.81726995]; votes 30103; rank 45 |
| LiveBench2026-06-25 · overall · leader | 81.91100% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case | 80.0198% of row best · percent · grok-4.5 · 10,517 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 84.68100% of row best · points · DeepSeek V4 Pro 0813 (max) · 18,462 output tokens / case | 82.2397% of row best · points · Grok 4.5 · 2,688 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 2 ties | 3 benchmark winsOverall lead | 0 benchmark wins |
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 | Grok 4.5 |
|---|---|---|
| Developer | DeepSeek | xAI |
| Family | Deepseek V4 Pro | Grok 4 |
| Model | DeepSeek-V4-Pro-0813 | Grok 4.5 |
| Version | DeepSeek-V4-Pro-0813 | Grok 4.5 |
| Lifecycle | active | active |
| Released | 2026-08-13 | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 500K |
| 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) | Xai (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
DeepSeek V4 Pro 0813 Capabilities
Grok 4.5 Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs Grok 4.5 FAQs
Is DeepSeek V4 Pro 0813 or Grok 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and Grok 4.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro 0813 or Grok 4.5?+
DeepSeek V4 Pro 0813 is $1.30 and Grok 4.5 is $2.00 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and Grok 4.5 is $6.00 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro 0813 or Grok 4.5?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Grok 4.5 supports 500K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Grok 4.5?+
DeepSeek V4 Pro 0813 leads the current overall benchmark count. The result uses 5 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can DeepSeek V4 Pro 0813 or Grok 4.5 be self-hosted?+
DeepSeek V4 Pro 0813 is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro 0813 is open weight; Grok 4.5 is not marked open weight.
Can DeepSeek V4 Pro 0813 and Grok 4.5 understand images?+
DeepSeek V4 Pro 0813 is not documented with image input; Grok 4.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro 0813 or Grok 4.5?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Grok 4.5 is —.
Do DeepSeek V4 Pro 0813 and Grok 4.5 support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. Grok 4.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro 0813 or Grok 4.5?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Grok 4.5 has 1, so DeepSeek V4 Pro 0813 has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 or Grok 4.5?+
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.