Qwen3.5 122B-A10B vs Laguna M.1
Laguna M.1 comes out ahead, 68 to 58 on our weighted score, and it is the cheaper option too.
Alibaba (Qwen)Qwen3.5 122B-A10B
58/100- ECI—
- Price$0.40 / $3.20
- Context262K
- Our pick
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
Add a model
Make it a three-way comparison.
Laguna M.1 is our pick
Laguna M.1 is the better all-round choice, scoring 68/100 against Qwen3.5 122B-A10B (58). It leads on price. Qwen3.5 122B-A10B wins on inputs & features. 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 M.1Laguna M.1 Free · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend)
- Longest contextAbout the sameQwen3.5 122B-A10B 262,144 · Laguna M.1 262,144 tokens
- Widest inputsQwen3.5 122B-A10BQwen3.5 122B-A10B: Text, Images, Audio, Video · Laguna M.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3.5 122B-A10B | Laguna M.1 |
|---|---|---|---|
| Price | 50% | 48 | 100 |
| Inputs & features | 30% | 90 | 35 |
| Context window | 20% | 37 | 37 |
| Overall | 100% | 58/100 | 68/100 |
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 | Qwen3.5 122B-A10BAlibaba (Qwen) | Laguna M.1Poolside |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.40 | Free (best) |
| Output | $3.20 | Free (best) |
| Cached input | — | — |
| Blended (3:1) | $1.10 | Free (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Official Poolside API |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 65,536 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | qwen3.5-122b-a10b | poolside/laguna-m.1 |
| API providers | 19 (best) | 2 |
| Released | Feb 23, 2026 | Apr 28, 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.
- Qwen3.5 122B-A10B$10.40
- Laguna M.1Free
Which should you choose?
Which is better: Qwen3.5 122B-A10B or Laguna M.1?
Laguna M.1 is the better all-round choice, scoring 68/100 against Qwen3.5 122B-A10B (58). It leads on price. Qwen3.5 122B-A10B wins on inputs & features. 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, Qwen3.5 122B-A10B or Laguna M.1?
Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside API price). Qwen3.5 122B-A10B costs $0.40 input / $3.20 output per million tokens (official Alibaba API price). Laguna M.1 is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3.5 122B-A10B has not been scored yet and Laguna M.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 122B-A10B and Laguna M.1 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?
Qwen3.5 122B-A10B and Laguna M.1 share the same 262,144-token context window. Maximum output per response: Qwen3.5 122B-A10B up to 65,536, Laguna M.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 122B-A10B accepts text, images, audio and video; Laguna M.1 accepts text. Qwen3.5 122B-A10B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Laguna M.1 is the newest, released Apr 28, 2026. Qwen3.5 122B-A10B came out Feb 23, 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.
