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Mercury 2 vs DeepSeek V3.1

Detailed technical comparison between Mercury 2 (Inception AI) 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.

⚡ Executive Summary & Verdict

Comparison Snapshot

Mercury 2: 0 WinsvsDeepSeek V3.1: 6 Wins
Context Leader

DeepSeek V3.1

163,840 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Tie

Equal Pricing
Inception AIactive

Mercury 2

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...

View Mercury 2 Full Specs →
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 →

Technical Specifications

🏆 = Superior Spec
SpecificationMercury 2DeepSeek V3.1
ProviderInception AIDeepSeek
Context Window128,000 tokens163,840 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-03-042025-08-21

API Pricing Comparison

Input Price per Million Tokens

Mercury 2

$0.25

DeepSeek V3.1

$0.25

Output Price per Million Tokens

Mercury 2

$0.75

DeepSeek V3.1

$0.95

💡 Cost Ratio: Both models offer identical input token pricing ($0.25 / MTok).

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Benchmark Performance Metrics

Standardized Scores (0–100%)

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

MMLUGeneral knowledge & multi-task understanding
79.2%vs80.0%+0.8% DeepSeek V3.1
Mercury 2
DeepSeek V3.1 🏆
HumanEvalPython coding & logic synthesis
77.4%vs78.2%+0.8% DeepSeek V3.1
Mercury 2
DeepSeek V3.1 🏆
MATHComplex mathematical problem solving
54.6%vs55.4%+0.8% DeepSeek V3.1
Mercury 2
DeepSeek V3.1 🏆
GPQAGraduate-level expert reasoning
40.0%vs40.8%+0.8% DeepSeek V3.1
Mercury 2
DeepSeek V3.1 🏆
HellaSwagCommonsense reasoning and inference
82.2%vs83.0%+0.8% DeepSeek V3.1
Mercury 2
DeepSeek V3.1 🏆
MT-BenchMulti-turn conversation flow quality
8.5%vs8.6%+0.1% DeepSeek V3.1
Mercury 2
DeepSeek V3.1 🏆

Mercury 2 Quirks & Gotchas

No developer gotchas reported.

DeepSeek V3.1 Quirks & Gotchas

No developer gotchas reported.

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