Trinity Mini vs LFM2 24B A2B vs Qwen3 VL Flash (Alibaba Cloud)
Qwen3 VL Flash (Alibaba Cloud) comes out ahead, 72 to 65 and 58 on our weighted score, though LFM2 24B A2B is 25% cheaper per token.
Arcee AITrinity Mini
65/100- ECI—
- Price$0.045 / $0.15
- Context131K
Liquid AILFM2 24B A2B
58/100- ECI—
- Price$0.03 / $0.12
- Context33K
- Our pick
Alibaba (Qwen)Qwen3 VL Flash (Alibaba Cloud)
72/100- ECI—
- Price$0.022 / $0.215
- Context262K
Qwen3 VL Flash (Alibaba Cloud) is our pick
Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Trinity Mini (65) and LFM2 24B A2B (58). It leads 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 priceLFM2 24B A2BLFM2 24B A2B $0.052 · Qwen3 VL Flash (Alibaba Cloud) $0.07 · Trinity Mini $0.071 per 1M tokens (3:1 blend)
- Longest contextQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud) 262,144 · Trinity Mini 131,072 · LFM2 24B A2B 32,768 tokens
- Widest inputsQwen3 VL Flash (Alibaba Cloud)Trinity Mini: Text · LFM2 24B A2B: Text · Qwen3 VL Flash (Alibaba Cloud): Text, Images
- Self-hostingTrinity Mini and LFM2 24B A2BPublishes downloadable weights (OpenMDW-1.1 and LFM Open License v1.0)
| Measure | Weight | Trinity Mini | LFM2 24B A2B | Qwen3 VL Flash (Alibaba Cloud) |
|---|---|---|---|---|
| Price | 50% | 100 | 100 | 100 |
| Inputs & features | 30% | 35 | 25 | 50 |
| Context window | 20% | 25 | 0 | 37 |
| Overall | 100% | 65/100 | 58/100 | 72/100 |
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 | Trinity MiniArcee AI | LFM2 24B A2BLiquid AI | Qwen3 VL Flash (Alibaba Cloud)Alibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.045 | $0.03 | $0.022 (best) |
| Output | $0.15 | $0.12 (best) | $0.215 |
| Cached input | — | — | — |
| Blended (3:1) | $0.071 | $0.052 (best) | $0.07 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 131,072 tokens | 32,768 tokens | 262,144 tokens (best) |
| Max output | 131,072 tokens (best) | 32,768 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenOpenMDW-1.1 | OpenLFM Open License v1.0 | Proprietary |
| API model ID | — | — | — |
| API providers | 1 | 1 | 1 |
| Released | Dec 1, 2025 | Feb 24, 2026 | Oct 15, 2025 |
| 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.
- Trinity Mini$0.75
- LFM2 24B A2B$0.54
- Qwen3 VL Flash (Alibaba Cloud)$0.65
Which should you choose?
Which is better: Trinity Mini, LFM2 24B A2B or Qwen3 VL Flash (Alibaba Cloud)?
Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against Trinity Mini (65) and LFM2 24B A2B (58). It leads 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, Trinity Mini, LFM2 24B A2B or Qwen3 VL Flash (Alibaba Cloud)?
LFM2 24B A2B is cheaper at $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); Trinity Mini costs $0.045 input / $0.15 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.052 per million tokens for LFM2 24B A2B versus $0.07 for Qwen3 VL Flash (Alibaba Cloud) (1.3× as much) and $0.071 for Trinity Mini (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Trinity Mini has not been scored yet, LFM2 24B A2B has not been scored yet and Qwen3 VL Flash (Alibaba Cloud) has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Trinity Mini, LFM2 24B A2B and Qwen3 VL Flash (Alibaba Cloud) 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 VL Flash (Alibaba Cloud) has the largest context window at 262,144 tokens, against 131,072 for Trinity Mini and 32,768 for LFM2 24B A2B. Maximum output per response: Trinity Mini up to 131,072, LFM2 24B A2B up to 32,768, Qwen3 VL Flash (Alibaba Cloud) up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Trinity Mini accepts text; LFM2 24B A2B accepts text; Qwen3 VL Flash (Alibaba Cloud) accepts text and images. Qwen3 VL Flash (Alibaba Cloud) handles the widest range of inputs.
Are any of these open source?
Trinity Mini and LFM2 24B A2B publishes its weights (OpenMDW-1.1 and LFM Open License v1.0) and can be self-hosted; Qwen3 VL Flash (Alibaba Cloud) is proprietary.
Which is newer?
LFM2 24B A2B is the newest, released Feb 24, 2026. Trinity Mini came out Dec 1, 2025; 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.
