DeepSeek R1 is DeepSeek's best model for research — it scores 89/100 vs 80/100 for DeepSeek V3, at $0.55/1M input tokens. Across all providers, Claude Fable 5 still leads research at 100/100 — worth considering if you're not committed to DeepSeek.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
DeepSeek R1 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.
DeepSeek V3 is the better pick when large documents, transcripts, or knowledge-heavy work lead the decision.
DeepSeek R1 leads DeepSeek's lineup for research at 89/100 ($0.55/1M input, 128K context).
DeepSeek V3 is the value pick at $0.27/1M input with a research score of 80/100.
Claude Fable 5 (Anthropic) is the overall research leader at 100/100 if provider choice is open.
Choose DeepSeek R1 when research quality is the priority and you're staying on DeepSeek.
Choose DeepSeek V3 when token volume matters more than peak quality.
Teams open to other providers should also evaluate Claude Fable 5 before committing.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
DeepSeek / Budget / Mar 24, 2026
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Your team has data sovereignty requirements or needs enterprise-grade reliability guarantees.
The fastest way to see where the recommendation shifts when your priority changes.
Open-source o1-class reasoning at a fraction of the cost.
GPT-4o-class coding quality at under $0.30/1M — the best value in the directory.
o1-class reasoning performance at under $0.60/1M input tokens
Open-source weights — can be self-hosted for sensitive workloads
Explicit chain-of-thought reasoning makes outputs auditable
Slow — deliberate reasoning takes significantly longer than standard models
Overkill for routine tasks where a faster model gets the same result
Same data sovereignty concerns as DeepSeek V3 for regulated industries
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DeepSeek R1 — it scores 89/100 on research in this directory, ahead of DeepSeek V3 at 80/100. Open-source o1-class reasoning at a fraction of the cost.
Not overall. Claude Fable 5 (Anthropic) leads the directory for research at 100/100 vs DeepSeek R1's 89/100. DeepSeek R1 is the best pick if you're staying within DeepSeek's ecosystem.
DeepSeek V3 at $0.27/1M input tokens (research score: 80/100). Use it for volume work and reserve DeepSeek R1 for the tasks where quality matters most.
$0.55/1M input tokens and $2.19/1M output tokens via the API. Context window: 128K tokens.