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DeepSeek V4 Flash vs Mistral Nemo

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V4 Flash and Mistral Nemo.

DeepSeek

DeepSeek V4 Flash

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and...

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Mistral

Mistral Nemo

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

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Technical Specifications

SpecificationDeepSeek V4 FlashMistral Nemo
ProviderDeepSeekMistral
Context Window1,048,576 tokens131,072 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)120 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242024-07-19

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Flash

$0.09

Mistral Nemo

$0.02

Output Price per Million Tokens

DeepSeek V4 Flash

$0.18

Mistral Nemo

$0.03

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8240.0%vsN/A
DeepSeek V4 Flash
Mistral Nemo
HumanEvalPython coding & logic synthesis
8410.0%vsN/A
DeepSeek V4 Flash
Mistral Nemo
MATHComplex mathematical problem solving
5020.0%vsN/A
DeepSeek V4 Flash
Mistral Nemo
GPQAGraduate-level expert reasoning
3800.0%vsN/A
DeepSeek V4 Flash
Mistral Nemo
HellaSwagCommonsense reasoning and inference
8350.0%vsN/A
DeepSeek V4 Flash
Mistral Nemo
MT-BenchMulti-turn conversation flow quality
875.0%vsN/A
DeepSeek V4 Flash
Mistral Nemo

DeepSeek V4 Flash Quirks & Gotchas

  • โ–ธBest cost-per-token ratio of any hosted API โ€” ideal for high-throughput pipelines
  • โ–ธLower agentic performance vs V4 Pro โ€” route complex tool calls accordingly

Mistral Nemo Quirks & Gotchas

No developer gotchas reported.