ALLaM-2-7b vs Step 1 (32K) vs Sonar Deep Research
Too close to call on our weighted score (Sonar Deep Research 16, Step 1 (32K) 15, ALLaM-2-7b 0). The right pick depends on what you value most.
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
StepFunStep 1 (32K)
15/100- ECI—
- Price$2.05 / $9.59
- Context33K
PerplexitySonar Deep Research
16/100- ECI—
- Price$2.00 / $8.00
- Context128K
Too close to call
It is close. Our weighted score puts them within a point (Sonar Deep Research 16/100, Step 1 (32K) 15/100, ALLaM-2-7b 0/100), so choose by what matters most for your work: Sonar Deep Research on price and Sonar Deep Research for long inputs. The score weighs inputs & features 60%, context window 40%. 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 priceSonar Deep ResearchSonar Deep Research $3.50 · Step 1 (32K) $3.94 per 1M tokens (3:1 blend) · ALLaM-2-7b unpriced
- Longest contextSonar Deep ResearchSonar Deep Research 128,000 · Step 1 (32K) 32,768 · ALLaM-2-7b 4,096 tokens
- Widest inputsSame inputsALLaM-2-7b: Text · Step 1 (32K): Text · Sonar Deep Research: Text
- Self-hostingALLaM-2-7bPublishes downloadable weights
| Measure | Weight | ALLaM-2-7b | Step 1 (32K) | Sonar Deep Research |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 25 | 10 |
| Context window | 40% | 0 | 0 | 24 |
| Overall | 100% | 0/100 | 15/100 | 16/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ALLaM-2-7bSDAIA | Step 1 (32K)StepFun | Sonar Deep ResearchPerplexity |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $2.05 | $2.00 (best) |
| Output | — | $9.59 | $8.00 (best) |
| Cached input | — | $0.41 | — |
| Blended (3:1) | — | $3.94 | $3.50 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official StepFun (Global) API | Official Perplexity API |
| Limits | |||
| Context window | 4,096 tokens | 32,768 tokens | 128,000 tokens (best) |
| Max output | 4,096 tokens | 32,768 tokens (best) | 32,768 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yesminimal · low · medium · high |
| Tool calling | No | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | step-1-32k | sonar-deep-research |
| API providers | 2 | 1 | 3 (best) |
| Released | Jan 23, 2025 | Jan 1, 2025 | Feb 1, 2025 |
| Knowledge cutoff | — | Jun 2024 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- ALLaM-2-7b—
- Step 1 (32K)$39.68
- Sonar Deep Research$36.00
Which should you choose?
Which is better: ALLaM-2-7b, Step 1 (32K) or Sonar Deep Research?
It is close. Our weighted score puts them within a point (Sonar Deep Research 16/100, Step 1 (32K) 15/100, ALLaM-2-7b 0/100), so choose by what matters most for your work: Sonar Deep Research on price and Sonar Deep Research for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, ALLaM-2-7b, Step 1 (32K) or Sonar Deep Research?
Sonar Deep Research is cheaper at $2.00 input / $8.00 output per million tokens (official Perplexity API price). Step 1 (32K) costs $2.05 input / $9.59 output per million tokens (official StepFun (Global) API price). At a typical mix of three input tokens to one output token, that is $3.50 per million tokens for Sonar Deep Research versus $3.94 for Step 1 (32K) (1.1× as much). ALLaM-2-7b has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. ALLaM-2-7b has not been scored yet, Step 1 (32K) has not been scored yet and Sonar Deep Research has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for ALLaM-2-7b, Step 1 (32K) and Sonar Deep Research yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that ALLaM-2-7b and Sonar Deep Research does not support tool calling, which most coding agents need.
Which has the bigger context window?
Sonar Deep Research has the largest context window at 128,000 tokens, against 32,768 for Step 1 (32K) and 4,096 for ALLaM-2-7b. Maximum output per response: ALLaM-2-7b up to 4,096, Step 1 (32K) up to 32,768, Sonar Deep Research up to 32,768 tokens.
Which can read images, PDFs, audio or video?
ALLaM-2-7b accepts text; Step 1 (32K) accepts text; Sonar Deep Research accepts text. They handle the same number of input types.
Are any of these open source?
ALLaM-2-7b publishes its weights and can be self-hosted; Step 1 (32K) and Sonar Deep Research is proprietary.
Which is newer?
Sonar Deep Research is the newest, released Feb 1, 2025. ALLaM-2-7b came out Jan 23, 2025; Step 1 (32K) came out Jan 1, 2025. Knowledge cutoff: Step 1 (32K) Jun 2024, Sonar Deep Research Jan 2025.
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.
