Compare · ModelsLive · 2 picked · head to head
Claude Instant vs DeepSeek-V2 (MoE-236B, May 2024)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek-V2 (MoE-236B, May 2024) wins on 3/3 benchmarks
DeepSeek-V2 (MoE-236B, May 2024) wins 3 of 3 shared benchmarks. Leads in knowledge.
Category leads
knowledge·DeepSeek-V2 (MoE-236B, May 2024)
Hype vs Reality
Attention vs performance
Claude Instant
#5 by perf·#10 by attention
DeepSeek-V2 (MoE-236B, May 2024)
#8 by perf·no signal
Best value
Pricing unknown
Claude Instant
—
no price
DeepSeek-V2 (MoE-236B, May 2024)
—
no price
Vendor risk
Mixed exposure
One or more vendors flagged
Anthropic
$380.0B·Tier 1
DeepSeek
$3.4B·Tier 1
Head to head
3 benchmarks · 2 models
Claude InstantDeepSeek-V2 (MoE-236B, May 2024)
ARC AI2
DeepSeek-V2 (MoE-236B, May 2024) leads by +7.9
AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval.
Claude Instant
81.7
DeepSeek-V2 (MoE-236B, May 2024)
89.6
MMLU
DeepSeek-V2 (MoE-236B, May 2024) leads by +6.7
Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge.
Claude Instant
64.5
DeepSeek-V2 (MoE-236B, May 2024)
71.2
TriviaQA
DeepSeek-V2 (MoE-236B, May 2024) leads by +1.1
TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents.
Claude Instant
78.9
DeepSeek-V2 (MoE-236B, May 2024)
80.0
Full benchmark table
| Benchmark | Claude Instant | DeepSeek-V2 (MoE-236B, May 2024) |
|---|---|---|
ARC AI2 AI2 Reasoning Challenge · tests grade-school level science knowledge with multiple-choice questions requiring reasoning beyond simple retrieval. | 81.7 | 89.6 |
MMLU Massive Multitask Language Understanding · 57 subjects spanning STEM, humanities, social sciences, and more. The standard benchmark for broad knowledge. | 64.5 | 71.2 |
TriviaQA TriviaQA · reading comprehension benchmark with trivia questions, requiring models to find and reason over evidence from provided documents. | 78.9 | 80.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| Claude Instant | — | — | — | — |
| DeepSeek-V2 (MoE-236B, May 2024) | — | — | — | — |
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