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Mercury 2 vs Mistral Medium 3.1

Detailed technical comparison between Mercury 2 (Inception AI) and Mistral Medium 3.1 (Mistral). 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

Mercury 2: 0 WinsvsMistral Medium 3.1: 6 Wins
Context Leader

Mistral Medium 3.1

131,072 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Mercury 2

$0.25 / MTok
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 โ†’
Mistralactive

Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

View Mistral Medium 3.1 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationMercury 2Mistral Medium 3.1
ProviderInception AIMistral
Context Window128,000 tokens131,072 tokens๐Ÿ†
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 Date2026-03-042025-08-13

API Pricing Comparison

Input Price per Million Tokens

Mercury 2

$0.25

Mistral Medium 3.1

$0.40

Output Price per Million Tokens

Mercury 2

$0.75

Mistral Medium 3.1

$2.00

๐Ÿ’ก Cost Ratio: Mercury 2 is 1.6x cheaper per input token than Mistral Medium 3.1.

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
79.2%vs80.2%+1.0% Mistral Medium 3.1
Mercury 2
Mistral Medium 3.1 ๐Ÿ†
HumanEvalPython coding & logic synthesis
77.4%vs78.4%+1.0% Mistral Medium 3.1
Mercury 2
Mistral Medium 3.1 ๐Ÿ†
MATHComplex mathematical problem solving
54.6%vs55.6%+1.0% Mistral Medium 3.1
Mercury 2
Mistral Medium 3.1 ๐Ÿ†
GPQAGraduate-level expert reasoning
40.0%vs41.0%+1.0% Mistral Medium 3.1
Mercury 2
Mistral Medium 3.1 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
82.2%vs83.2%+1.0% Mistral Medium 3.1
Mercury 2
Mistral Medium 3.1 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.5%vs8.6%+0.1% Mistral Medium 3.1
Mercury 2
Mistral Medium 3.1 ๐Ÿ†

Mercury 2 Quirks & Gotchas

No developer gotchas reported.

Mistral Medium 3.1 Quirks & Gotchas

No developer gotchas reported.

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