Open-source o1-class reasoning at a fraction of the cost.
Math, science, complex reasoning, and multi-step problem solving at budget cost
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
See what DeepSeek R1 actually costs at your usage level
Based on DeepSeek R1 API pricing: $0.55/1M input · $2.19/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
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Tracking since May 8, 2026 · more data builds daily
1 data point · tracked daily since May 8, 2026
Math, science, complex reasoning, and multi-step problem solving at budget cost. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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Open-source frontier model from DeepSeek that matches GPT-4o class performance at a fraction of the cost — the most disruptive budget option for coding and general tasks.
DeepSeek R1 is best for math, science, complex reasoning, and multi-step problem solving at budget cost. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and deliberate speed.
Speed matters — R1's deliberate reasoning makes it wrong for interactive or high-throughput use cases.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
DeepSeek V3 is the better pick when response time matters more than maximum depth or premium quality.
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Speed matters — R1's deliberate reasoning makes it wrong for interactive or high-throughput use cases.
Same data sovereignty concerns as DeepSeek V3 for regulated industries
Claude 3.5 Sonnet is Anthropic's mid-cycle flagship model, balancing strong reasoning, coding, and instruction-following with a 200K context window. It sits between Haiku and Opus in Anthropic's lineup, offering near-flagship quality at a lower cost than top-tier models.
Claude 3.7 Sonnet with extended thinking enabled — Anthropic's hybrid reasoning model that explicitly deliberates before responding, surfacing its chain-of-thought for complex multi-step problems. It sits between standard Sonnet and full reasoning-only models, balancing depth with practical usability.
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