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Comparison · 2 models · Updated Oct 4, 2026

DeepSeek-R1 vs DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 comes out ahead, 68 to 51 on our weighted score, and it is the cheaper option too.

  1. DeepSeek

    DeepSeek-R1

    Released Jan 20, 2025

    51/100
    • ECI139.0
    • Price$0.70 / $2.60
    • Context128K
    Full specs Remove DeepSeek-R1
  2. Our pick

    DeepSeek

    DeepSeek V4 Pro 0813

    Released Aug 12, 2026

    68/100
    • ECI155.4
    • Price$0.66 / $1.98
    • Context1M
    Full specs Remove DeepSeek V4 Pro 0813

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

DeepSeek V4 Pro 0813 is our pick

DeepSeek V4 Pro 0813 is the better all-round choice, scoring 68/100 against DeepSeek-R1 (51). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityDeepSeek V4 Pro 0813Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.4 · DeepSeek-R1 139.0
  • Lowest priceDeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 $0.99 · DeepSeek-R1 $1.18 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V4 Pro 0813DeepSeek V4 Pro 0813 1,000,000 · DeepSeek-R1 128,000 tokens
  • Widest inputsSame inputsDeepSeek-R1: Text · DeepSeek V4 Pro 0813: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightDeepSeek-R1DeepSeek V4 Pro 0813
CapabilityCapabilities Index (ECI)50%6485
Price25%4750
Inputs & features15%3545
Context window10%2460
Overall100%51/10068/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

DeepSeek-R1 vs DeepSeek V4 Pro 0813 specifications side by side
SpecificationDeepSeek-R1DeepSeekDeepSeek V4 Pro 0813DeepSeek
Capability
Capabilities Index (ECI)139.0155.4 (best)
ECI rank#104 of 148#26 of 148 (best)
GPQA DiamondGraduate-level science questions71.7%91.7% (best)
FrontierMath Tiers 1–3Research-level mathematics—64.6%
OTIS Mock AIME 2024–2025Competition mathematics53.3%98.6% (best)
SimpleQA VerifiedShort factual questions—52.9%
Price per million tokens
Input$0.70$0.66 (best)
Output$2.60$1.98 (best)
Cached input—$0.022
Blended (3:1)$1.18$0.99 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 11 providersOfficial DeepSeek API
Limits
Context window128,000 tokens1,000,000 tokens (best)
Max output32,768 tokens384,000 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYeslow · high · max
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenOpenMIT
API model ID—deepseek-v4-pro
API providers1237 (best)
ReleasedJan 20, 2025Aug 12, 2026
Knowledge cutoffJul 2024—
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • DeepSeek-R1$12.20
  • DeepSeek V4 Pro 0813$10.56
04 — Questions

Which should you choose?

Which is better: DeepSeek-R1 or DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813 is the better all-round choice, scoring 68/100 against DeepSeek-R1 (51). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, DeepSeek-R1 or DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813 is cheaper at $0.66 input / $1.98 output per million tokens (official DeepSeek API price). DeepSeek-R1 costs $0.70 input / $2.60 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.99 per million tokens for DeepSeek V4 Pro 0813 versus $1.18 for DeepSeek-R1 (1.2× as much).

Which scores higher on benchmarks?

DeepSeek V4 Pro 0813 scores higher on the Capabilities Index (ECI): DeepSeek V4 Pro 0813 155.4 (#26 of 148) and DeepSeek-R1 139.0 (#104 of 148). Their confidence ranges do not overlap (153.7–157.6 vs 136.2–140.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — DeepSeek V4 Pro 0813 91.7%, DeepSeek-R1 71.7%; OTIS Mock AIME 2024–2025 — DeepSeek V4 Pro 0813 98.6%, DeepSeek-R1 53.3%.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek-R1 and DeepSeek V4 Pro 0813 yet, so there is no like-for-like coding score. On overall capability, DeepSeek V4 Pro 0813 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

DeepSeek V4 Pro 0813 has the largest context window at 1,000,000 tokens, against 128,000 for DeepSeek-R1. Maximum output per response: DeepSeek-R1 up to 32,768, DeepSeek V4 Pro 0813 up to 384,000 tokens.

Which can read images, PDFs, audio or video?

DeepSeek-R1 accepts text; DeepSeek V4 Pro 0813 accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (MIT), so you can self-host them.

Which is newer?

DeepSeek V4 Pro 0813 is the newest, released Aug 12, 2026. DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: DeepSeek-R1 Jul 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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