Qwen3.5 4B vs Qwen3 VL Flash (Alibaba Cloud) vs LFM2 24B A2B
Qwen3.5 4B comes out ahead, 78 to 72 and 58 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)Qwen3.5 4B
78/100- ECI—
- Price$0.04 / $0.07
- Context262K
- Alibaba (Qwen)
Qwen3 VL Flash (Alibaba Cloud)
72/100- ECI—
- Price$0.022 / $0.215
- Context262K
Liquid AILFM2 24B A2B
58/100- ECI—
- Price$0.03 / $0.12
- Context33K
Qwen3.5 4B is our pick
Qwen3.5 4B is the better all-round choice, scoring 78/100 against Qwen3 VL Flash (Alibaba Cloud) (72) and LFM2 24B A2B (58). It leads 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 priceQwen3.5 4BQwen3.5 4B $0.048 · LFM2 24B A2B $0.052 · Qwen3 VL Flash (Alibaba Cloud) $0.07 per 1M tokens (3:1 blend)
- Longest contextQwen3.5 4B and Qwen3 VL Flash (Alibaba Cloud)Qwen3.5 4B 262,144 · Qwen3 VL Flash (Alibaba Cloud) 262,144 · LFM2 24B A2B 32,768 tokens
- Widest inputsQwen3.5 4BQwen3.5 4B: Text, Images, Video · Qwen3 VL Flash (Alibaba Cloud): Text, Images · LFM2 24B A2B: Text
- Self-hostingQwen3.5 4B and LFM2 24B A2BPublishes downloadable weights (Apache-2.0 and LFM Open License v1.0)
| Measure | Weight | Qwen3.5 4B | Qwen3 VL Flash (Alibaba Cloud) | LFM2 24B A2B |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 70 | 50 | 25 |
| Context window | 20% | 37 | 37 | 0 |
| Overall | 100% | 78/100 | 72/100 | 58/100 |
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 4BAlibaba (Qwen) | Qwen3 VL Flash (Alibaba Cloud)Alibaba (Qwen) | LFM2 24B A2BLiquid AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 55.8% | — | — |
| Price per million tokens | |||
| Input | $0.04 | $0.022 (best) | $0.03 |
| Output | $0.07 (best) | $0.215 | $0.12 |
| Cached input | — | — | — |
| Blended (3:1) | $0.048 (best) | $0.07 | $0.052 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 32,768 tokens |
| Max output | 81,920 tokens (best) | 32,768 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache-2.0 | Proprietary | OpenLFM Open License v1.0 |
| API model ID | — | — | — |
| API providers | 5 (best) | 1 | 1 |
| Released | Mar 2, 2026 | Oct 15, 2025 | Feb 24, 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 4B$0.54
- Qwen3 VL Flash (Alibaba Cloud)$0.65
- LFM2 24B A2B$0.54
Which should you choose?
Which is better: Qwen3.5 4B, Qwen3 VL Flash (Alibaba Cloud) or LFM2 24B A2B?
Qwen3.5 4B is the better all-round choice, scoring 78/100 against Qwen3 VL Flash (Alibaba Cloud) (72) and LFM2 24B A2B (58). It leads 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 4B, Qwen3 VL Flash (Alibaba Cloud) or LFM2 24B A2B?
Qwen3.5 4B is cheaper at $0.04 input / $0.07 output per million tokens (median across 3 API providers). LFM2 24B A2B costs $0.03 input / $0.12 output per million tokens (median across 1 API provider); Qwen3 VL Flash (Alibaba Cloud) costs $0.022 input / $0.215 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.048 per million tokens for Qwen3.5 4B versus $0.052 for LFM2 24B A2B (1.1× as much) and $0.07 for Qwen3 VL Flash (Alibaba Cloud) (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.5 4B has not been scored yet, Qwen3 VL Flash (Alibaba Cloud) has not been scored yet and LFM2 24B A2B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.5 4B, Qwen3 VL Flash (Alibaba Cloud) and LFM2 24B A2B 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?
Qwen3.5 4B and Qwen3 VL Flash (Alibaba Cloud) have the largest context windows (262,144 and 262,144 tokens), against 32,768 for LFM2 24B A2B. Maximum output per response: Qwen3.5 4B up to 81,920, Qwen3 VL Flash (Alibaba Cloud) up to 32,768, LFM2 24B A2B up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Qwen3.5 4B accepts text, images and video; Qwen3 VL Flash (Alibaba Cloud) accepts text and images; LFM2 24B A2B accepts text. Qwen3.5 4B handles the widest range of inputs.
Are any of these open source?
Qwen3.5 4B and LFM2 24B A2B publishes its weights (Apache-2.0 and LFM Open License v1.0) and can be self-hosted; Qwen3 VL Flash (Alibaba Cloud) is proprietary.
Which is newer?
Qwen3.5 4B is the newest, released Mar 2, 2026. LFM2 24B A2B came out Feb 24, 2026; Qwen3 VL Flash (Alibaba Cloud) came out Oct 15, 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.
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