Qwen3.5 122B-A10B vs Nex-N2-Pro
Qwen3.5 122B-A10B comes out ahead, 54 to 49 on our weighted score, though Nex-N2-Pro is 9% cheaper per token.
- Our pick
Alibaba (Qwen)Qwen3.5 122B-A10B
54/100- ECI—
- Price$0.40 / $3.20
- Context262K
Nex AGI
Nex-N2-Pro
49/100- ECI—
- Price$0.50 / $2.50
- Context262K
Add a model
Make it a three-way comparison.
Qwen3.5 122B-A10B is our pick
Qwen3.5 122B-A10B is the better all-round choice, scoring 54/100 against Nex-N2-Pro (49). It leads on inputs & features. Nex-N2-Pro wins 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 priceNex-N2-ProNex-N2-Pro $1.00 · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend)
- Longest contextAbout the sameQwen3.5 122B-A10B 262,144 · Nex-N2-Pro 262,144 tokens
- Widest inputsQwen3.5 122B-A10BQwen3.5 122B-A10B: Text, Images, Video · Nex-N2-Pro: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3.5 122B-A10B | Nex-N2-Pro |
|---|---|---|---|
| Price | 50% | 46 | 48 |
| Inputs & features | 30% | 80 | 60 |
| Context window | 20% | 37 | 37 |
| Overall | 100% | 54/100 | 49/100 |
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) | Nex-N2-ProNex AGI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.40 (best) | $0.50 |
| Output | $3.20 | $2.50 (best) |
| Cached input | — | — |
| Blended (3:1) | $1.10 | $1.00 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 1 providers |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 65,536 tokens | 262,144 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | 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 | — |
| API providers | 22 (best) | 1 |
| Released | Feb 23, 2026 | Jun 2, 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
- Nex-N2-Pro$10.00
Which should you choose?
Which is better: Qwen3.5 122B-A10B or Nex-N2-Pro?
Qwen3.5 122B-A10B is the better all-round choice, scoring 54/100 against Nex-N2-Pro (49). It leads on inputs & features. Nex-N2-Pro wins 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, Qwen3.5 122B-A10B or Nex-N2-Pro?
Nex-N2-Pro is cheaper at $0.50 input / $2.50 output per million tokens (median across 1 API provider). Qwen3.5 122B-A10B costs $0.40 input / $3.20 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.00 per million tokens for Nex-N2-Pro versus $1.10 for Qwen3.5 122B-A10B (1.1× as much).
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 Nex-N2-Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 122B-A10B and Nex-N2-Pro 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 Nex-N2-Pro share the same 262,144-token context window. Maximum output per response: Qwen3.5 122B-A10B up to 65,536, Nex-N2-Pro up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 122B-A10B accepts text, images and video; Nex-N2-Pro accepts text and images. 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?
Nex-N2-Pro is the newest, released Jun 2, 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 Nov 2, 2026.
