Qwen 3.8 Max Prime vs Pareto vs MiMo-V2.6-Pro-UltraSpeed
Too close to call on our weighted score (MiMo-V2.6-Pro-UltraSpeed 44, Qwen 3.8 Max Prime 42, Pareto 34). The right pick depends on what you value most.
Alibaba (Qwen)Qwen 3.8 Max Prime
42/100- ECI—
- Price$4.00 / $12.00
- Context1M
Unbiased
Pareto
34/100- ECI—
- Price$2.50 / $7.50
- Context262K
XiaomiMiMo-V2.6-Pro-UltraSpeed
44/100- ECI—
- Price$4.35 / $8.70
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 1 points (MiMo-V2.6-Pro-UltraSpeed 44/100, Qwen 3.8 Max Prime 42/100, Pareto 34/100), so choose by what matters most for your work: Pareto on price and MiMo-V2.6-Pro-UltraSpeed for long inputs. 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 priceParetoPareto $3.75 · MiMo-V2.6-Pro-UltraSpeed $5.44 · Qwen 3.8 Max Prime $6.00 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.6-Pro-UltraSpeedMiMo-V2.6-Pro-UltraSpeed 1,048,576 · Qwen 3.8 Max Prime 1,000,000 · Pareto 262,144 tokens
- Widest inputsMiMo-V2.6-Pro-UltraSpeedQwen 3.8 Max Prime: Text, Images, Video · Pareto: Text, Images · MiMo-V2.6-Pro-UltraSpeed: Text, Images, Audio, Video
- Self-hostingMiMo-V2.6-Pro-UltraSpeedPublishes downloadable weights
| Measure | Weight | Qwen 3.8 Max Prime | Pareto | MiMo-V2.6-Pro-UltraSpeed |
|---|---|---|---|---|
| Price | 50% | 13 | 23 | 15 |
| Inputs & features | 30% | 80 | 50 | 80 |
| Context window | 20% | 60 | 37 | 61 |
| Overall | 100% | 42/100 | 34/100 | 44/100 |
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 | Qwen 3.8 Max PrimeAlibaba (Qwen) | ParetoUnbiased | MiMo-V2.6-Pro-UltraSpeedXiaomi |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $4.00 | $2.50 (best) | $4.35 |
| Output | $12.00 | $7.50 (best) | $8.70 |
| Cached input | — | — | $0.036 |
| Blended (3:1) | $6.00 | $3.75 (best) | $5.44 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 4 providers | Official Xiaomi API |
| Limits | |||
| Context window | 1,000,000 tokens | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 131,072 tokens | 131,072 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | Yes | No | Yes |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | — | — | mimo-v2.6-pro-ultraspeed |
| API providers | 4 | 4 | 9 (best) |
| Released | Sep 23, 2026 | Sep 17, 2026 | Sep 21, 2026 |
| Knowledge cutoff | — | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen 3.8 Max Prime$64.00
- Pareto$40.00
- MiMo-V2.6-Pro-UltraSpeed$60.90
Which should you choose?
Which is better: Qwen 3.8 Max Prime, Pareto or MiMo-V2.6-Pro-UltraSpeed?
It is close. Our weighted score puts them within 1 points (MiMo-V2.6-Pro-UltraSpeed 44/100, Qwen 3.8 Max Prime 42/100, Pareto 34/100), so choose by what matters most for your work: Pareto on price and MiMo-V2.6-Pro-UltraSpeed for long inputs. 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, Qwen 3.8 Max Prime, Pareto or MiMo-V2.6-Pro-UltraSpeed?
Pareto is cheaper at $2.50 input / $7.50 output per million tokens (median across 4 API providers). MiMo-V2.6-Pro-UltraSpeed costs $4.35 input / $8.70 output per million tokens (official Xiaomi API price); Qwen 3.8 Max Prime costs $4.00 input / $12.00 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $3.75 per million tokens for Pareto versus $5.44 for MiMo-V2.6-Pro-UltraSpeed (1.4× as much) and $6.00 for Qwen 3.8 Max Prime (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen 3.8 Max Prime has not been scored yet, Pareto has not been scored yet and MiMo-V2.6-Pro-UltraSpeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen 3.8 Max Prime, Pareto and MiMo-V2.6-Pro-UltraSpeed yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
MiMo-V2.6-Pro-UltraSpeed has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen 3.8 Max Prime and 262,144 for Pareto. Maximum output per response: Qwen 3.8 Max Prime up to 131,072, Pareto up to 131,072, MiMo-V2.6-Pro-UltraSpeed up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen 3.8 Max Prime accepts text, images and video; Pareto accepts text and images; MiMo-V2.6-Pro-UltraSpeed accepts text, images, audio and video. MiMo-V2.6-Pro-UltraSpeed handles the widest range of inputs.
Are any of these open source?
MiMo-V2.6-Pro-UltraSpeed publishes its weights and can be self-hosted; Qwen 3.8 Max Prime and Pareto is proprietary.
Which is newer?
Qwen 3.8 Max Prime is the newest, released Sep 23, 2026. MiMo-V2.6-Pro-UltraSpeed came out Sep 21, 2026; Pareto came out Sep 17, 2026.
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.
