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Model comparison

DeepSeek-Coder-V2 vs Mixtral 8x22B

DeepSeekDeepSeek-Coder-V2
Input
Free (open weights)
Output
Free (open weights)
Context
128K
Released
2024-06-17
Full model page →Mistral AIMixtral 8x22B
Input
$2.00 per 1M tokens
Output
$6.00 per 1M tokens
Context
64K
Released
2024-04-10
Full model page →
Short answer

DeepSeek-Coder-V2 scores higher on 3 of the 3 benchmarks both models report; DeepSeek-Coder-V2 has the larger context window (128K vs 64K).

Specs and pricing side by side

SpecDeepSeek-Coder-V2Mixtral 8x22B
MakerDeepSeekMistral AI
Released2024-06-172024-04-10
Context window128K64K
Max outputUndisclosed4K (la Plateforme; ~8K on some providers)
Input priceFree (open weights)$2.00 per 1M tokens
Output priceFree (open weights)$6.00 per 1M tokens
Parameters236B total · 21B active (Lite: 16B total · 2.4B active)141B total, 39B active per token
LicenseMIT (code) + DeepSeek Model License — commercial use permittedApache 2.0
WeightsOpen weightsOpen weightssame
ModalitiesTextTextsame
Knowledge cutoffNovember 2023Not publicly disclosed by Mistral AI

Benchmarks both models report

BenchmarkDeepSeek-Coder-V2Mixtral 8x22B
MATH75.7%44.6%
GSM8K94.9%90.8%
MMLU79.2%77.7%

Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.

Which one should you pick?

Pick DeepSeek-Coder-V2 if…

  • You care about MATH, GSM8K, MMLU (it scores higher on 3 shared benchmarks).
  • You need the longer context (128K vs 64K).
  • Your use case is: code generation and autocompletion across many languages.

Pick Mixtral 8x22B if…

  • Your use case is: self-hosted open-weight LLM deployments where data must stay on-premises or in a controlled environment.

FAQ

Which is better, DeepSeek-Coder-V2 or Mixtral 8x22B?

DeepSeek-Coder-V2 scores higher on 3 of the 3 benchmarks both models report; DeepSeek-Coder-V2 has the larger context window (128K vs 64K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.

What are the context windows of DeepSeek-Coder-V2 and Mixtral 8x22B?

DeepSeek-Coder-V2 offers 128K with up to Undisclosed output; Mixtral 8x22B offers 64K with up to 4K (la Plateforme; ~8K on some providers) output.

Is DeepSeek-Coder-V2 newer than Mixtral 8x22B?

DeepSeek-Coder-V2 was released 2024-06-17; Mixtral 8x22B was released 2024-04-10.

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