Mixtral 8x7B vs Qwen Plus
Qwen Plus comes out ahead, 53 to 36 on our weighted score, and it is the cheaper option too.
Mistral AI
Mixtral 8x7B
36/100- ECI118.5
- Price$0.70 / $0.70
- Context32K
- Our pick
Alibaba (Qwen)
Qwen Plus
53/100- ECI—
- Price$0.40 / $1.20
- Context1M
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Make it a three-way comparison.
Qwen Plus is our pick
Qwen Plus is the better all-round choice, scoring 53/100 against Mixtral 8x7B (36). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceQwen PlusQwen Plus $0.60 · Mixtral 8x7B $0.70 per 1M tokens (3:1 blend)
- Longest contextQwen PlusQwen Plus 1,000,000 · Mixtral 8x7B 32,000 tokens
- Widest inputsSame inputsMixtral 8x7B: Text · Qwen Plus: Text
- Self-hostingMixtral 8x7BPublishes downloadable weights
| Measure | Weight | Mixtral 8x7B | Qwen Plus |
|---|---|---|---|
| Price | 50% | 57 | 60 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 0 | 60 |
| Overall | 100% | 36/100 | 53/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 118.5 | — |
| ECI rank | #142 of 148 | — |
| GPQA DiamondGraduate-level science questions | 30.6% | — |
| Price per million tokens | ||
| Input | $0.70 | $0.40 (best) |
| Output | $0.70 (best) | $1.20 |
| Cached input | — | — |
| Blended (3:1) | $0.70 | $0.60 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API |
| Limits | ||
| Context window | 32,000 tokens | 1,000,000 tokens (best) |
| Max output | 32,000 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | open-mixtral-8x7b | qwen-plus |
| API providers | 1 | 9 (best) |
| Released | Dec 11, 2023 | Jan 25, 2024 |
| Knowledge cutoff | Jan 2024 | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Mixtral 8x7B$8.40
Qwen Plus$6.40
Which should you choose?
Which is better: Mixtral 8x7B or Qwen Plus?
Qwen Plus is the better all-round choice, scoring 53/100 against Mixtral 8x7B (36). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Mixtral 8x7B or Qwen Plus?
Qwen Plus is cheaper at $0.40 input / $1.20 output per million tokens (official Alibaba API price). Mixtral 8x7B costs $0.70 input / $0.70 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.60 per million tokens for Qwen Plus versus $0.70 for Mixtral 8x7B (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mixtral 8x7B has an ECI of 118.5 and Qwen Plus has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B and Qwen Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen Plus has the largest context window at 1,000,000 tokens, against 32,000 for Mixtral 8x7B. Maximum output per response: Mixtral 8x7B up to 32,000, Qwen Plus up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B accepts text; Qwen Plus accepts text. They handle the same number of input types.
Are any of these open source?
Mixtral 8x7B publishes its weights and can be self-hosted; Qwen Plus is proprietary.
Which is newer?
Qwen Plus is the newest, released Jan 25, 2024. Mixtral 8x7B came out Dec 11, 2023. Knowledge cutoff: Mixtral 8x7B Jan 2024, Qwen Plus Apr 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.