Back to SearchHardware Shootout
DeepSeek
DeepSeek V4 Flash
VS
Mistral AI
Mixtral 8x22B v0.1
Analysis By: The WhichLLMModel Editorial Team|Updated: June 2026
Live Hardware Compatibility Simulator
GPU Dedicated VRAM16 GB
System Host RAM32 GB
DeepSeek V4 FlashOOM / Exceeds Limit
VRAM Footprint (Q4):145.97 GB
Active GPU Load:12.61 GB
Mixtral 8x22B v0.1OOM / Exceeds Limit
VRAM Footprint (Q4):81.87 GB
Active GPU Load:13.36 GB
Hardware & Architecture Shootout Matrix
| Metric / Spec | DeepSeek V4 Flash | Mixtral 8x22B v0.1 |
|---|---|---|
| Parameter Scale | 284B Parameters | 141B Parameters |
| Attention Architecture | Standard GQA / MHA | Standard GQA / MHA |
| Max Context Window | 1.05M | 65.54k |
| Available GGUF Quants | 2 Quant Formats | 2 Quant Formats |
| Full Model Page | Hardware Details | Hardware Details |
Intelligence & Benchmark Head-to-Head
Coding Benchmark (SWE-bench / HumanEval)
DeepSeek V4 Flash49.1%
Mixtral 8x22B v0.145.1%
Reasoning Benchmark (GPQA / MMLU)
DeepSeek V4 Flash80%
Mixtral 8x22B v0.1N/A%
Frequently Asked Questions about DeepSeek V4 Flash vs Mixtral 8x22B v0.1
Mixtral 8x22B v0.1 is cheaper than DeepSeek V4 Flash. Mixtral 8x22B v0.1 has a blended cost of $NaN/1M tokens, which is about 1.0x cheaper than DeepSeek V4 Flash at $NaN/1M tokens.
For coding tasks, DeepSeek V4 Flash scores 49.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while Mixtral 8x22B v0.1 scores 45.1% on human-eval (basic standalone code completion and simple functions).
Related Matchups
Explore similar comparisons for DeepSeek V4 Flash and Mixtral 8x22B v0.1.