Mixtral 34Bx2 MoE 60B vs Mixtral 8x7B v0.1
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Mixtral 34Bx2 MoE 60B | Mixtral 8x7B v0.1 | |
|---|---|---|
| Parameters | 60.8B | 46.7B |
| Context | 200K | 33K |
| Architecture | MixtralForCausalLM | MixtralForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 8.2K | 76.9K |
| Released | Jan 2026 | — |
VRAM by Quantization: Mixtral 34Bx2 MoE 60B vs Mixtral 8x7B v0.1
| Quantization | Bits | Mixtral 34Bx2 MoE 60B VRAM | Mixtral 8x7B v0.1 VRAM |
|---|---|---|---|
| Q2_K | 3.40 | — | 20.4 GB |
| Q3_K_M | 3.90 | — | 23.3 GB |
| Q3_K_S | 3.50 | — | 21 GB |
| Q4_0 | 4.00 | — | 23.9 GB |
| Q4_K_M | 4.80 | — | 28.6 GB |
| Q5_K_M | 5.70 | — | 33.8 GB |
| Q6_K | 6.60 | — | 39.1 GB |
| Q8_0 | 8.00 | — | 47.3 GB |
Verdict
Mixtral 34Bx2 MoE 60B supports a longer context window (200K tokens). Mixtral 8x7B v0.1 is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, Mixtral 34Bx2 MoE 60B or Mixtral 8x7B v0.1?
Mixtral 34Bx2 MoE 60B supports 200,000 tokens and Mixtral 8x7B v0.1 supports 32,768 tokens.
- What is the difference between Mixtral 34Bx2 MoE 60B and Mixtral 8x7B v0.1?
Mixtral 34Bx2 MoE 60B is a 60.8B model from cloudyu (Mixtral family), while Mixtral 8x7B v0.1 is a 46.7B model from Mistral AI (Mixtral family). Compare their VRAM requirements above to see which fits your GPU or Mac.