GPT-5.3 Chat vs LFM2 24B A2B
LFM2 24B A2B comes out ahead, 58 to 28 on our weighted score, and it is the cheaper option too.
OpenAIGPT-5.3 Chat
28/100- ECI—
- Price$1.75 / $14.00
- Context128K
- Our pick
Liquid AILFM2 24B A2B
58/100- ECI—
- Price$0.03 / $0.12
- Context33K
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Make it a three-way comparison.
LFM2 24B A2B is our pick
LFM2 24B A2B is the better all-round choice, scoring 58/100 against GPT-5.3 Chat (28). It leads on price. GPT-5.3 Chat wins 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 · GPT-5.3 Chat $4.81 per 1M tokens (3:1 blend)
- Longest contextGPT-5.3 ChatGPT-5.3 Chat 128,000 · LFM2 24B A2B 32,768 tokens
- Widest inputsGPT-5.3 ChatGPT-5.3 Chat: Text, Images · LFM2 24B A2B: Text
- Self-hostingLFM2 24B A2BPublishes downloadable weights (LFM Open License v1.0)
| Measure | Weight | GPT-5.3 Chat | LFM2 24B A2B |
|---|---|---|---|
| Price | 50% | 17 | 100 |
| Inputs & features | 30% | 50 | 25 |
| Context window | 20% | 24 | 0 |
| Overall | 100% | 28/100 | 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 | GPT-5.3 ChatOpenAI | LFM2 24B A2BLiquid AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.75 | $0.03 (best) |
| Output | $14.00 | $0.12 (best) |
| Cached input | — | — |
| Blended (3:1) | $4.81 | $0.052 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 1 providers |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 16,384 tokens | 32,768 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | OpenLFM Open License v1.0 |
| API model ID | — | — |
| API providers | 4 (best) | 1 |
| Released | Mar 3, 2026 | Feb 24, 2026 |
| Knowledge cutoff | Aug 31, 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GPT-5.3 Chat$45.50
- LFM2 24B A2B$0.54
Which should you choose?
Which is better: GPT-5.3 Chat or LFM2 24B A2B?
LFM2 24B A2B is the better all-round choice, scoring 58/100 against GPT-5.3 Chat (28). It leads on price. GPT-5.3 Chat wins 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, GPT-5.3 Chat or LFM2 24B A2B?
LFM2 24B A2B is cheaper at $0.03 input / $0.12 output per million tokens (median across 1 API provider). GPT-5.3 Chat costs $1.75 input / $14.00 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.052 per million tokens for LFM2 24B A2B versus $4.81 for GPT-5.3 Chat (92× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GPT-5.3 Chat 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 GPT-5.3 Chat and LFM2 24B A2B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
GPT-5.3 Chat has the largest context window at 128,000 tokens, against 32,768 for LFM2 24B A2B. Maximum output per response: GPT-5.3 Chat up to 16,384, LFM2 24B A2B up to 32,768 tokens.
Which can read images, PDFs, audio or video?
GPT-5.3 Chat accepts text and images; LFM2 24B A2B accepts text. GPT-5.3 Chat handles the widest range of inputs.
Are any of these open source?
LFM2 24B A2B publishes its weights (LFM Open License v1.0) and can be self-hosted; GPT-5.3 Chat is proprietary.
Which is newer?
GPT-5.3 Chat is the newest, released Mar 3, 2026. LFM2 24B A2B came out Feb 24, 2026. Knowledge cutoff: GPT-5.3 Chat Aug 31, 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.
