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DeepSeek V4 Pro vs DeepSeek V3.1

Detailed technical comparison between DeepSeek V4 Pro (DeepSeek) and DeepSeek V3.1 (DeepSeek). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

DeepSeek V4 Pro: 6 WinsvsDeepSeek V3.1: 0 Wins
Context Leader

DeepSeek V4 Pro

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

DeepSeek V3.1

$0.25 / MTok
DeepSeekactive

DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

View DeepSeek V4 Pro Full Specs โ†’
DeepSeekactive

DeepSeek V3.1

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...

View DeepSeek V3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationDeepSeek V4 ProDeepSeek V3.1
ProviderDeepSeekDeepSeek
Context Window1,048,576 tokens๐Ÿ†163,840 tokens
Agent Suitability94/100 (est.)Not yet benchmarked
Time to First Token (TTFT)280 ms (est.)No public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-04-242025-08-21

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Pro

$0.43

DeepSeek V3.1

$0.25

Output Price per Million Tokens

DeepSeek V4 Pro

$0.87

DeepSeek V3.1

$0.95

๐Ÿ’ก Cost Ratio: DeepSeek V3.1 is 1.7x cheaper per input token than DeepSeek V4 Pro.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
94.5%vs80.0%+14.5% DeepSeek V4 Pro
DeepSeek V4 Pro ๐Ÿ†
DeepSeek V3.1
HumanEvalPython coding & logic synthesis
95.8%vs78.2%+17.6% DeepSeek V4 Pro
DeepSeek V4 Pro ๐Ÿ†
DeepSeek V3.1
MATHComplex mathematical problem solving
94.5%vs55.4%+39.1% DeepSeek V4 Pro
DeepSeek V4 Pro ๐Ÿ†
DeepSeek V3.1
GPQAGraduate-level expert reasoning
85.0%vs40.8%+44.2% DeepSeek V4 Pro
DeepSeek V4 Pro ๐Ÿ†
DeepSeek V3.1
HellaSwagCommonsense reasoning and inference
98.6%vs83.0%+15.6% DeepSeek V4 Pro
DeepSeek V4 Pro ๐Ÿ†
DeepSeek V3.1
MT-BenchMulti-turn conversation flow quality
9.6%vs8.6%+1.0% DeepSeek V4 Pro
DeepSeek V4 Pro ๐Ÿ†
DeepSeek V3.1

DeepSeek V4 Pro Quirks & Gotchas

  • โ–ธMoE architecture โ€” cold-start latency on first request, use keep-alive
  • โ–ธBest cost-performance ratio of any frontier model โ€” strong tool calling for agentic use

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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