Laguna M.1 vs Nova Pro vs Qwen2.5 32B Instruct
Laguna M.1 comes out ahead, 68 to 50 and 35 on our weighted score, and it is the cheaper option too.
- Our pick
PoolsideLaguna M.1
68/100- ECI—
- PriceFree / Free
- Context262K
AmazonNova Pro
50/100- ECI123.8
- Price$0.80 / $3.20
- Context300K
Alibaba (Qwen)Qwen2.5 32B Instruct
35/100- ECI128.5
- Price$0.70 / $2.80
- Context131K
Laguna M.1 is our pick
Laguna M.1 is the better all-round choice, scoring 68/100 against Nova Pro (50) and Qwen2.5 32B Instruct (35). It leads on price. Nova Pro wins on 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 priceLaguna M.1Laguna M.1 Free · Qwen2.5 32B Instruct $1.23 · Nova Pro $1.40 per 1M tokens (3:1 blend)
- Longest contextNova ProNova Pro 300,000 · Laguna M.1 262,144 · Qwen2.5 32B Instruct 131,072 tokens
- Widest inputsNova ProLaguna M.1: Text · Nova Pro: Text, Images, PDFs, Video · Qwen2.5 32B Instruct: Text
- Self-hostingLaguna M.1 and Qwen2.5 32B InstructPublishes downloadable weights
| Measure | Weight | Laguna M.1 | Nova Pro | Qwen2.5 32B Instruct |
|---|---|---|---|---|
| Price | 50% | 100 | 43 | 46 |
| Inputs & features | 30% | 35 | 70 | 25 |
| Context window | 20% | 37 | 39 | 24 |
| Overall | 100% | 68/100 | 50/100 | 35/100 |
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 | Laguna M.1Poolside | Nova ProAmazon | Qwen2.5 32B InstructAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 123.8 | 128.5 (best) |
| ECI rank | — | #137 of 148 | #131 of 148 (best) |
| GPQA DiamondGraduate-level science questions | — | — | 46.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 7.4% |
| Price per million tokens | |||
| Input | Free (best) | $0.80 | $0.70 |
| Output | Free (best) | $3.20 | $2.80 |
| Cached input | — | $0.20 | — |
| Blended (3:1) | Free (best) | $1.40 | $1.23 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Poolside API | Official Amazon Bedrock API | Official Alibaba API |
| Limits | |||
| Context window | 262,144 tokens | 300,000 tokens (best) | 131,072 tokens |
| Max output | 32,768 tokens (best) | 10,000 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | poolside/laguna-m.1 | amazon.nova-pro-v1:0 | qwen2-5-32b-instruct |
| API providers | 2 | 3 (best) | 1 |
| Released | Apr 28, 2026 | Dec 3, 2024 | Sep 17, 2024 |
| Knowledge cutoff | — | Oct 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.
- Laguna M.1Free
- Nova Pro$14.40
- Qwen2.5 32B Instruct$12.60
Which should you choose?
Which is better: Laguna M.1, Nova Pro or Qwen2.5 32B Instruct?
Laguna M.1 is the better all-round choice, scoring 68/100 against Nova Pro (50) and Qwen2.5 32B Instruct (35). It leads on price. Nova Pro wins on 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, Laguna M.1, Nova Pro or Qwen2.5 32B Instruct?
Laguna M.1 is cheaper at Free input / Free output per million tokens (official Poolside API price). Qwen2.5 32B Instruct costs $0.70 input / $2.80 output per million tokens (official Alibaba API price); Nova Pro costs $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price). Laguna M.1 is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Laguna M.1 has not been scored yet, Nova Pro has an ECI of 123.8 and Qwen2.5 32B Instruct has an ECI of 128.5.
Which is better for coding?
There are no published SWE-bench Verified results for Laguna M.1, Nova Pro and Qwen2.5 32B Instruct 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?
Nova Pro has the largest context window at 300,000 tokens, against 262,144 for Laguna M.1 and 131,072 for Qwen2.5 32B Instruct. Maximum output per response: Laguna M.1 up to 32,768, Nova Pro up to 10,000, Qwen2.5 32B Instruct up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Laguna M.1 accepts text; Nova Pro accepts text, images, PDFs and video; Qwen2.5 32B Instruct accepts text. Nova Pro handles the widest range of inputs.
Are any of these open source?
Laguna M.1 and Qwen2.5 32B Instruct publishes its weights and can be self-hosted; Nova Pro is proprietary.
Which is newer?
Laguna M.1 is the newest, released Apr 28, 2026. Nova Pro came out Dec 3, 2024; Qwen2.5 32B Instruct came out Sep 17, 2024. Knowledge cutoff: Nova Pro Oct 2024, Qwen2.5 32B Instruct 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.
