AutoGLM Phone 9B Multilingual vs LFM2 24B A2B vs Qwen3.5 4B

Qwen3.5 4B is the better all-round choice, scoring 78/100 against AutoGLM Phone 9B Multilingual (60) 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.

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); AutoGLM Phone 9B Multilingual costs $0.035 input / $0.138 output per million tokens (median across 2 API providers). 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 $0.061 for AutoGLM Phone 9B Multilingual (1.3× as much).

There is no independent benchmark that covers all three models yet. AutoGLM Phone 9B Multilingual has not been scored yet, LFM2 24B A2B has not been scored yet and Qwen3.5 4B has not been scored yet.

There are no published SWE-bench Verified results for AutoGLM Phone 9B Multilingual, LFM2 24B A2B and Qwen3.5 4B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that AutoGLM Phone 9B Multilingual does not support tool calling, which most coding agents need.

Qwen3.5 4B has the largest context window at 262,144 tokens, against 65,536 for AutoGLM Phone 9B Multilingual and 32,768 for LFM2 24B A2B. Maximum output per response: AutoGLM Phone 9B Multilingual up to 65,536, LFM2 24B A2B up to 32,768, Qwen3.5 4B up to 81,920 tokens.

AutoGLM Phone 9B Multilingual accepts text and images; LFM2 24B A2B accepts text; Qwen3.5 4B accepts text, images and video. Qwen3.5 4B handles the widest range of inputs.

Yes, all three publish their weights (MIT, LFM Open License v1.0 and Apache-2.0), so you can self-host them.

Qwen3.5 4B is the newest, released Mar 2, 2026. LFM2 24B A2B came out Feb 24, 2026; AutoGLM Phone 9B Multilingual came out Dec 10, 2025.

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.