MiMo-V2.6-Pro-UltraSpeed vs Laguna S 2.1 vs Qwen 3.8 Max Prime
Laguna S 2.1 comes out ahead, 69 to 44 and 42 on our weighted score, and it is the cheaper option too.
XiaomiMiMo-V2.6-Pro-UltraSpeed
44/100- ECI—
- Price$4.35 / $8.70
- Context1.05M
- Our pick
PoolsideLaguna S 2.1
69/100- ECI—
- Price$0.10 / $0.20
- Context1.05M
Alibaba (Qwen)Qwen 3.8 Max Prime
42/100- ECI—
- Price$4.00 / $12.00
- Context1M
Laguna S 2.1 is our pick
Laguna S 2.1 is the better all-round choice, scoring 69/100 against MiMo-V2.6-Pro-UltraSpeed (44) and Qwen 3.8 Max Prime (42). It leads on price. 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 priceLaguna S 2.1Laguna S 2.1 $0.125 · 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-UltraSpeed and Laguna S 2.1MiMo-V2.6-Pro-UltraSpeed 1,048,576 · Laguna S 2.1 1,048,576 · Qwen 3.8 Max Prime 1,000,000 tokens
- Widest inputsMiMo-V2.6-Pro-UltraSpeedMiMo-V2.6-Pro-UltraSpeed: Text, Images, Audio, Video · Laguna S 2.1: Text · Qwen 3.8 Max Prime: Text, Images, Video
- Self-hostingMiMo-V2.6-Pro-UltraSpeed and Laguna S 2.1Publishes downloadable weights
| Measure | Weight | MiMo-V2.6-Pro-UltraSpeed | Laguna S 2.1 | Qwen 3.8 Max Prime |
|---|---|---|---|---|
| Price | 50% | 15 | 93 | 13 |
| Inputs & features | 30% | 80 | 35 | 80 |
| Context window | 20% | 61 | 61 | 60 |
| Overall | 100% | 44/100 | 69/100 | 42/100 |
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 | MiMo-V2.6-Pro-UltraSpeedXiaomi | Laguna S 2.1Poolside | Qwen 3.8 Max PrimeAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $4.35 | $0.10 (best) | $4.00 |
| Output | $8.70 | $0.20 (best) | $12.00 |
| Cached input | $0.036 | — | — |
| Blended (3:1) | $5.44 | $0.125 (best) | $6.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Xiaomi API | Median of 4 providers | Median of 4 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 131,072 tokens (best) | 32,768 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | mimo-v2.6-pro-ultraspeed | poolside/laguna-s-2.1 | — |
| API providers | 9 (best) | 6 | 4 |
| Released | Sep 21, 2026 | Jul 21, 2026 | Sep 23, 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.
- MiMo-V2.6-Pro-UltraSpeed$60.90
- Laguna S 2.1$1.40
- Qwen 3.8 Max Prime$64.00
Which should you choose?
Which is better: MiMo-V2.6-Pro-UltraSpeed, Laguna S 2.1 or Qwen 3.8 Max Prime?
Laguna S 2.1 is the better all-round choice, scoring 69/100 against MiMo-V2.6-Pro-UltraSpeed (44) and Qwen 3.8 Max Prime (42). It leads on price. 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, MiMo-V2.6-Pro-UltraSpeed, Laguna S 2.1 or Qwen 3.8 Max Prime?
Laguna S 2.1 is cheaper at $0.10 input / $0.20 output per million tokens (median across 4 API providers; free on Poolside). 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 $0.125 per million tokens for Laguna S 2.1 versus $5.44 for MiMo-V2.6-Pro-UltraSpeed (44× as much) and $6.00 for Qwen 3.8 Max Prime (48× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiMo-V2.6-Pro-UltraSpeed has not been scored yet, Laguna S 2.1 has not been scored yet and Qwen 3.8 Max Prime has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiMo-V2.6-Pro-UltraSpeed, Laguna S 2.1 and Qwen 3.8 Max Prime 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 and Laguna S 2.1 have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Qwen 3.8 Max Prime. Maximum output per response: MiMo-V2.6-Pro-UltraSpeed up to 131,072, Laguna S 2.1 up to 32,768, Qwen 3.8 Max Prime up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiMo-V2.6-Pro-UltraSpeed accepts text, images, audio and video; Laguna S 2.1 accepts text; Qwen 3.8 Max Prime accepts text, images and video. MiMo-V2.6-Pro-UltraSpeed handles the widest range of inputs.
Are any of these open source?
MiMo-V2.6-Pro-UltraSpeed and Laguna S 2.1 publishes its weights and can be self-hosted; Qwen 3.8 Max Prime 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; Laguna S 2.1 came out Jul 21, 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.
