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Mistral Large 4 vs Mercury 3

Detailed technical comparison between Mistral Large 4 (Mistral) and Mercury 3 (Inception AI). 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

Mistral Large 4: 6 WinsvsMercury 3: 0 Wins
Context Leader

Mistral Large 4

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Mercury 3

$0.10 / MTok
Mistralactive

Mistral Large 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...

View Mistral Large 4 Full Specs →
Inception AIactive

Mercury 3

Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...

View Mercury 3 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationMistral Large 4Mercury 3
ProviderMistralInception AI
Context Window1,048,576 tokens🏆1,000,000 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityNot verifiedNot verified
API AvailableYesYes
Released Date2026-10-062026-10-16

API Pricing Comparison

Input Price per Million Tokens

Mistral Large 4

$0.70

Mercury 3

$0.10

Output Price per Million Tokens

Mistral Large 4

$2.10

Mercury 3

$0.35

💡 Cost Ratio: Mercury 3 is 7.0x cheaper per input token than Mistral Large 4.

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.

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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
85.8%vs79.4%+6.4% Mistral Large 4
Mistral Large 4 🏆
Mercury 3
HumanEvalPython coding & logic synthesis
85.0%vs77.6%+7.4% Mistral Large 4
Mistral Large 4 🏆
Mercury 3
MATHComplex mathematical problem solving
66.2%vs54.8%+11.4% Mistral Large 4
Mistral Large 4 🏆
Mercury 3
GPQAGraduate-level expert reasoning
47.6%vs40.2%+7.4% Mistral Large 4
Mistral Large 4 🏆
Mercury 3
HellaSwagCommonsense reasoning and inference
86.8%vs82.4%+4.4% Mistral Large 4
Mistral Large 4 🏆
Mercury 3
MT-BenchMulti-turn conversation flow quality
8.9%vs8.5%+0.4% Mistral Large 4
Mistral Large 4 🏆
Mercury 3

Mistral Large 4 Quirks & Gotchas

No developer gotchas reported.

Mercury 3 Quirks & Gotchas

No developer gotchas reported.

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