Mixtral 34Bx2 MoE 60B vs Mixtral 8x22B v0.1
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Mixtral 34Bx2 MoE 60B | Mixtral 8x22B v0.1 | |
|---|---|---|
| Parameters | 60.8B | 140.6B |
| Context | 200K | 66K |
| Architecture | MixtralForCausalLM | MixtralForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 8.2K | 5.1K |
| Released | Jan 2026 | — |
VRAM by Quantization: Mixtral 34Bx2 MoE 60B vs Mixtral 8x22B v0.1
| Quantization | Bits | Mixtral 34Bx2 MoE 60B VRAM | Mixtral 8x22B v0.1 VRAM |
|---|---|---|---|
| Q2_K | 3.40 | — | 60.5 GB |
| Q3_K_M | 3.90 | — | 69.3 GB |
| Q3_K_S | 3.50 | — | 62.3 GB |
| Q4_K_M | 4.80 | — | 85.1 GB |
| Q5_K_M | 5.70 | — | 101.0 GB |
| Q6_K | 6.60 | — | 116.8 GB |
| Q8_0 | 8.00 | — | 141.4 GB |
Verdict
Mixtral 34Bx2 MoE 60B supports a longer context window (200K tokens). Mixtral 34Bx2 MoE 60B is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Mixtral 34Bx2 MoE 60B or Mixtral 8x22B v0.1?
Mixtral 34Bx2 MoE 60B supports 200,000 tokens and Mixtral 8x22B v0.1 supports 65,536 tokens.
- What is the difference between Mixtral 34Bx2 MoE 60B and Mixtral 8x22B v0.1?
Mixtral 34Bx2 MoE 60B is a 60.8B model from cloudyu (Mixtral family), while Mixtral 8x22B v0.1 is a 140.6B model from Mistral AI (Mixtral family). Compare their VRAM requirements above to see which fits your GPU or Mac.