--- title: "DeepSeek: R1 — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/deepseek__deepseek-r1/ description: "DeepSeek: R1: $0.700/M in, $2.50/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements." --- # DeepSeek: R1 — price, capability and what beats it · Undominated.ai > DeepSeek: R1: $0.700/M in, $2.50/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/deepseek__deepseek-r1/) [Cheaper alternatives](/alternatives/deepseek__deepseek-r1/) [Family](/families/deepseek/) [Compare models](https://undominated.ai/compare/?models=deepseek%2Fdeepseek-r1) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # R1 DeepSeek · 20 Jan 2025 Balanced Summarise Chat Code gen Agentic BETTER VALUE OPTION ## A stored alternative has an equal-or-higher measured score and an equal-or-lower price. **$1.15** / 1M tokens Balanced · 3 tokens in per 1 out [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) · Δ score 118.3 points · 53% lower measured price · $0.540 / 1M tokens [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) is a further stored option with these losses: no extended reasoning Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,372.7 ± 4.85 · 18,524 votes Context window 64K Maximum output 16K Input modalities text Output modalities text Published input price $0.700 / 1M tokens Published output price $2.50 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Novita: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known. Every price dimension · USD per million tokens | Input | $0.700 /M | | --- | --- | | Output | $2.50 /M | | Cached input | Unknown /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 1 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Novita novita/fp8 Endpoint terms Cached input /M Unknown Context limit 64,000 tokens Output limit 16,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.700 | Output $2.50 | Precision fp8 | Uptime (1d) 99.98% | ### Independent scores | LMArena Elo | 1372.7 default | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. ### Capability | Context window | 64K | | --- | --- | | Max output | 16K | | Input modes | text | | Tool use | yes | | Reasoning | always on | | Knowledge cutoff | 2024-07-31 | | Open weights | Unknown | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | verified | DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.... ## Questions this page answers What does R1 cost? $0.700/M in, $2.50/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does R1 have an independent quality score? R1 has an LMArena score in this catalogue. What beats R1? MiMo-V2.6-Pro has an equal-or-higher measured score and an equal-or-lower price. Does this page use Artificial Analysis scores for R1? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options DeepSeek: R1. Balanced workload. Better value option available. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related - Both better and cheaper [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) - Higher score and cheaper, with a named trade [Qwen3 235B A22B Instruct 2507](/models/qwen__qwen3-235b-a22b-2507/) - Nearby on the capability axis [GPT-5 Mini](/models/openai__gpt-5-mini/) - Same vendor [DeepSeek V3](/models/deepseek__deepseek-chat/) - DeepSeek models [DeepSeek](/providers/deepseek/) - Where this model appears [effort](/effort/) - Nearby on the capability axis [GPT-5.4 Nano](/models/openai__gpt-5.4-nano/) - Same vendor [DeepSeek V3.1 Terminus](/models/deepseek__deepseek-v3.1-terminus/) - Where this model appears [significance](/significance/) - Nearby on the capability axis [DeepSeek V3 0324](/models/deepseek__deepseek-chat-v3-0324/) - Same vendor [DeepSeek V3.1](/models/deepseek__deepseek-chat-v3.1/) - Where this model appears [cheapest-at](/cheapest-at/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![R1 — Undominated.ai dominance verdict](https://undominated.ai/badge/deepseek__deepseek-r1.svg)](https://undominated.ai/models/deepseek__deepseek-r1/) HTML Copy R1 — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/deepseek__deepseek-r1.svg](https://undominated.ai/badge/deepseek__deepseek-r1.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)