Qwen3-VL Plus vs ALLaM-2-7b vs Grok Code Fast 1
Qwen3-VL Plus comes out ahead, 57 to 35 and 0 on our weighted score.
- Our pick
Alibaba (Qwen)Qwen3-VL Plus
57/100- ECI—
- Price$0.20 / $1.60
- Context262K
SDAIA
ALLaM-2-7b
0/100- ECI—
- Price—
- Context4K
xAIGrok Code Fast 1
35/100- ECI—
- Price$0.20 / $1.50
- Context256K
Qwen3-VL Plus is our pick
Qwen3-VL Plus is the better all-round choice, scoring 57/100 against Grok Code Fast 1 (35) and ALLaM-2-7b (0). It leads on inputs & features. 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 priceGrok Code Fast 1Grok Code Fast 1 $0.525 · Qwen3-VL Plus $0.55 per 1M tokens (3:1 blend) · ALLaM-2-7b unpriced
- Longest contextQwen3-VL PlusQwen3-VL Plus 262,144 · Grok Code Fast 1 256,000 · ALLaM-2-7b 4,096 tokens
- Widest inputsQwen3-VL PlusQwen3-VL Plus: Text, Images · ALLaM-2-7b: Text · Grok Code Fast 1: Text
- Self-hostingALLaM-2-7bPublishes downloadable weights
| Measure | Weight | Qwen3-VL Plus | ALLaM-2-7b | Grok Code Fast 1 |
|---|---|---|---|---|
| Inputs & features | 60% | 70 | 0 | 35 |
| Context window | 40% | 37 | 0 | 36 |
| Overall | 100% | 57/100 | 0/100 | 35/100 |
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 | Qwen3-VL PlusAlibaba (Qwen) | ALLaM-2-7bSDAIA | Grok Code Fast 1xAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | — | $0.20 |
| Output | $1.60 | — | $1.50 (best) |
| Cached input | $0.04 | — | — |
| Blended (3:1) | $0.55 | — | $0.525 (best) |
| Long-context rate | Over 32K: $0.30 / $2.40 | — | Same rate |
| Price source | Official Alibaba API | — | Median of 5 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 4,096 tokens | 256,000 tokens |
| Max output | 32,768 tokens (best) | 4,096 tokens | 10,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | qwen3-vl-plus | — | — |
| API providers | 6 | 2 | 7 (best) |
| Released | Sep 23, 2025 | Jan 23, 2025 | Sep 2, 2025 |
| Knowledge cutoff | Apr 2025 | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen3-VL Plus$5.20
- ALLaM-2-7b—
- Grok Code Fast 1$5.00
Which should you choose?
Which is better: Qwen3-VL Plus, ALLaM-2-7b or Grok Code Fast 1?
Qwen3-VL Plus is the better all-round choice, scoring 57/100 against Grok Code Fast 1 (35) and ALLaM-2-7b (0). It leads on inputs & features. 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, Qwen3-VL Plus, ALLaM-2-7b or Grok Code Fast 1?
Grok Code Fast 1 is cheaper at $0.20 input / $1.50 output per million tokens (median across 5 API providers). Qwen3-VL Plus costs $0.20 input / $1.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for Grok Code Fast 1 versus $0.55 for Qwen3-VL Plus (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. Qwen3-VL Plus has not been scored yet, ALLaM-2-7b has not been scored yet and Grok Code Fast 1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3-VL Plus, ALLaM-2-7b and Grok Code Fast 1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that ALLaM-2-7b does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3-VL Plus has the largest context window at 262,144 tokens, against 256,000 for Grok Code Fast 1 and 4,096 for ALLaM-2-7b. Maximum output per response: Qwen3-VL Plus up to 32,768, ALLaM-2-7b up to 4,096, Grok Code Fast 1 up to 10,000 tokens.
Which can read images, PDFs, audio or video?
Qwen3-VL Plus accepts text and images; ALLaM-2-7b accepts text; Grok Code Fast 1 accepts text. Qwen3-VL Plus handles the widest range of inputs.
Are any of these open source?
ALLaM-2-7b publishes its weights and can be self-hosted; Qwen3-VL Plus and Grok Code Fast 1 is proprietary.
Which is newer?
Qwen3-VL Plus is the newest, released Sep 23, 2025. Grok Code Fast 1 came out Sep 2, 2025; ALLaM-2-7b came out Jan 23, 2025. Knowledge cutoff: Qwen3-VL Plus Apr 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 Nov 2, 2026.
