LFM2.5-24B-A2B vs Llama 3.2 11B Vision Instruct
Prices checked
Llama 3.2 11B Vision Instruct takes 4 of 5 rounds against LFM2.5-24B-A2B. It is also the cheaper of the two to run, at $0.21 per million tokens against $0.21.
LFM2.5-24B-A2B
128k context · tool calling · open weights
$0.21/M tokensLiquid AI's own price · 7.2¢ per 1,000 pages
MetaWins 4 roundsLlama 3.2 11B Vision Instruct
131k context · reads images · open weights
$0.21/M tokensCloudflare Workers AI's own price · 7¢ per 1,000 pages
Maker's price in (lower wins)
$0.05/M
$0.05/M
Maker's price out (lower wins)
$0.70/M
$0.68/M
Cheapest price (lower wins)
none below the maker
none below the maker
Maker's price, blended (lower wins)
$0.21/M
$0.21/M
Cost per 1,000 pages (lower wins)
7.2¢
7¢
Context
128k tokens
131k tokens
Open weights
yes
yes
Tool calling
yes
no
Structured output
yes
yes
Reads images
no
yes
Reasoning
yes
no
Released
13 Oct 2026
25 Sept 2024
Providers selling it
7
4
Price we measure against
the maker's own
Cloudflare Workers AI
Trains on your prompts (no is better)
no provider to check
no provider to check
Providers selling both · 0
No provider we read sells both, so running the two means two accounts.
Go further
Add a third or fourth model, or change the weighting, in the tool.
Frequently asked
- Which is cheaper, LFM2.5-24B-A2B or Llama 3.2 11B Vision Instruct?
- Llama 3.2 11B Vision Instruct, at $0.21 per million tokens against $0.21 for LFM2.5-24B-A2B, blended 3 in : 1 out, read on 21 Oct 2026.
- Where is each one cheapest?
- LFM2.5-24B-A2B: nobody sells it below the maker's own price with a stated reason, so $0.21 is the number to beat. Llama 3.2 11B Vision Instruct: nobody sells it below Cloudflare Workers AI's own price with a stated reason, so $0.21 is the number to beat.
- Can I buy both from one provider?
- No provider we read sells both, so running the two means two accounts and two bills.
- Which holds more context?
- Llama 3.2 11B Vision Instruct, at 131k tokens against 128k.
Prices exclude tax, read 21 Oct 2026 from each provider's own catalog. They are per M tokens, blended 3 in : 1 out, and a page is 600 tokens in and 60 out. Bars are scaled to the larger value in each row.