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Llama 3.2 1B

113 tokens a second on Mac · no GPU · 10 CPUs · 16 GB RAM. About $0.81 per million tokens here, against OpenRouter's $0.20: the API is 4.0× cheaper. Run it here for privacy or to keep work on your own machines, not to save money.

9 builds of Llama 3.2 1B, 34 signed runs on real machines: different packagers, precisions and engines, each a different file with its own numbers. 1.2B parameters, as the vendor states.

113tok/s, fastest machine
$0.81per M tokens · $0.20 on an API
32Kcontext proved by recall
0.7 GBmemory, smallest build
16providers measured it
Run it on your gram Install a gram with one command. It works through the catalog on your own machine and signs every result. 16 providers have measured Llama 3.2 1B so far.Use it in your own room Ask Evo in your gramx and it runs on a machine that proved it, at the metered $0.81 per million tokens. On your own machines it costs you nothing.Compare every build Put it beside every other model in one table: speed, price, context and the API price, one row each.
best on ollama · 9 builds

proved 32K context, by ollama Q8_0

113.3 tok/s peak, by maziyarpanahi Q4_K_M

Speed against price, every machine

Up and left is faster and cheaper · the line joins machines no other beats on both · price on a log scale · dashed: OpenRouter

$1$10USD per million tokenstok/sMac · no GPU · 10 CPUs · 16 GB RAM · 4-bit by maziyarpanahi · 113.27 tok/s · $0.8056/MMac · Apple silicon · 8 CPUs · 8 GB RAM · llama3.2:1b · 20.37 tok/s · $8.5986/MWindows · no GPU · 8 CPUs · 16 GB RAM · 3-bit by maziyarpanahi · 17.72 tok/s · $4.0054/MLinux · no GPU · 4 CPUs · 31 GB RAM · 4-bit by bartowski · 12.24 tok/s · $2.5368/MWindows · no GPU · 8 CPUs · 16 GB RAM · 4-bit by bartowski · 11.62 tok/s · $6.161/MLinux · no GPU · 4 CPUs · 31 GB RAM · llama3.2:1b · 11.45 tok/s · $2.6566/MLinux · no GPU · 4 CPUs · 31 GB RAM · 4-bit by hugging-quants · 11.25 tok/s · $2.7606/MLinux · no GPU · 4 CPUs · 31 GB RAM · llama3.2:1b · 10.79 tok/s · $2.8196/MLinux · no GPU · 4 CPUs · 31 GB RAM · 3-bit by bartowski · 10.3 tok/s · $3.007/MLinux · no GPU · 4 CPUs · 31 GB RAM · 8-bit by bartowski · 8.46 tok/s · $3.717/MLinux · no GPU · 4 CPUs · 31 GB RAM · 1-bit by maziyarpanahi · 6.6 tok/s · $4.6098/MWindows · AMD Radeon(TM) Vega 8 Mobile Graphics 1 GB · 8 CPUs · 7 GB RAM · llama3.2:1b · 5.62 tok/s · $31.1559/MLinux · no GPU · 4 CPUs · 31 GB RAM · 3-bit by bartowski · 5.28 tok/s · $5.862/MMac · no GPU · 4 CPUs · 8 GB RAM · 4-bit by bartowski · 4.73 tok/s · $6.5625/MLinux · no GPU · 4 CPUs · 31 GB RAM · 16-bit (full precision) by bartowski · 4.3 tok/s · $7.5285/MMac · Apple silicon · 4 CPUs · 8 GB RAM · llama3.2:1b · 3.37 tok/s · $39.9708/MMac · no GPU · 4 CPUs · 8 GB RAM · 1-bit by maziyarpanahi · 3.26 tok/s · $9.3281/MMac · no GPU · 4 CPUs · 8 GB RAM · 3-bit by maziyarpanahi · 1.48 tok/s · $20.6089/M

Same build, different machines

Q8_0 by ollama on 16 machines: the fastest decodes 7.6× as fast as the slowest. One dot per machine, tokens per second.

  1. Mac, CPU only · 8 CPUs×129 tok/s
  2. Apple M1×128 tok/s
  3. Intel(R) Iris(R) Xe Graphics×113 tok/s
  4. Linux, CPU only · 4 CPUs×812 tok/s
  5. 2× Tesla T4×111 tok/s
  6. Intel(R) UHD Graphics 730×19.7 tok/s
  7. AMD Radeon(TM) Vega 8 Mobile Graphics×18.3 tok/s
  8. Apple M4×16.2 tok/s
  9. Apple silicon×13.8 tok/s

What it fits on

The smallest build needs about 0.7 GB; 18 of 18 kinds of machine on the network can hold it. Bars: each kind's memory (its card's, else RAM) · ticks: every build, at the size it held plus a fifth for the prompt.

  1. Linux, CPU only · 2 CPUs1 GB RAM1 of 7
  2. NVIDIA GeForce RTX 3050 Laptop GPU4 GB on the cardevery build
  3. NVIDIA GeForce GTX 16504 GB on the cardevery build
  4. AMD Radeon(TM) Vega 8 Mobile Graphics7 GB RAMevery build
  5. Windows, CPU only · 12 CPUs7 GB RAMevery build
  6. Apple silicon8 GB RAMevery build
  7. Apple M18 GB RAMevery build
  8. Mac, CPU only · 8 CPUs8 GB RAMevery build
  9. NVIDIA GeForce RTX 3080 Ti12 GB on the cardevery build
  10. Tesla T415 GB on the cardevery build
  11. Intel(R) UHD Graphics 73016 GB RAMevery build
  12. Intel(R) Iris(R) Xe Graphics16 GB RAMevery build
  13. Apple M416 GB RAMevery build
  14. Apple M116 GB RAMevery build
  15. NVIDIA L422 GB on the cardevery build
  16. 2× Tesla T429 GB on the cardevery build
  17. Linux, CPU only · 4 CPUs31 GB RAMevery build
  18. NVIDIA RTX PRO 6000 Blackwell Server Edition95 GB on the cardevery build

How far back it remembers, machine by machine

Filled: the needle came back at that prompt size · outlined: asked and lost · blank: not asked · trained for 128K. 10 walks ended because the model forgot, 4 because the machine could not hold the prompt.

machine · build4K8K16K32K64K128Kwhy it stopped
Gram ·0548a8Apple M1 · Q8_0 by ollama32K an older probe: where it stopped was not recorded
Gram ·afbb8aApple M4 · Q4_K_M by maziyarpanahi8K an older probe: where it stopped was not recorded
Gram ·afbb8aApple M4 · Q4_K_M by bartowski8K an older probe: where it stopped was not recorded
Gram ·4e94b2Linux, CPU only · 4 CPUs · Q8_0 by ollama8K too slow to answer here
Gram ·afbb8aApple M4 · Q8_0 by ollama8K an older probe: where it stopped was not recorded
Gram ·afbb8aApple M4 · IQ3_XS by maziyarpanahi4K an older probe: where it stopped was not recorded
Gram ·e61d3b2× Tesla T4 · Q4_K_M by bartowski4K too slow to answer here at 8K
Gram ·9e3c79Intel(R) UHD Graphics 730 · Q4_K_M by bartowski4K an older probe: where it stopped was not recorded
Gram ·e61d3b2× Tesla T4 · Q8_0 by bartowski4K too slow to answer here
Gram ·d061c9AMD Radeon(TM) Vega 8 Mobile Graphics · Q8_0 by ollama4K too slow to answer here
Gram ·afbb8aApple M4 · IQ1_S by maziyarpanahi— an older probe: where it stopped was not recorded
Gram ·9e3c79Intel(R) UHD Graphics 730 · IQ3_XS by maziyarpanahi— an older probe: where it stopped was not recorded
Gram ·2e5c02Intel(R) Iris(R) Xe Graphics · Q8_0 by ollama— an older probe: where it stopped was not recorded
Gram ·e3654fLinux, CPU only · 4 CPUs · Q8_0 by ollama— the model lost the needle at 4K

The 14 longest of 30 walks; every one is on its build's page.

Carbon per million tokens

Lowest build on each machine · 0 of 9 read off a power sensor, the rest modelled from the parts · fewer grams is better

  1. Gram ·afbb8a85 g0.43 J/tok · modelled
  2. Gram ·e3654f189 g3.19 J/tok · modelled
  3. Gram ·e61d3b191 g3.23 J/tok · modelled
  4. Gram ·4e94b2361 g3.39 J/tok · modelled
  5. Gram ·73d610438 g3.33 J/tok · modelled
  6. Gram ·662a4e471 g3.58 J/tok · modelled
  7. Gram ·acbe75477 g3.63 J/tok · modelled
  8. Gram ·d686721.1 kg5.58 J/tok · modelled
  9. Gram ·d061c93.4 kg17.52 J/tok · modelled

Carbon is location-based: signed energy × the yearly average of the grid where the machine signed its place (India grid average · EU grid average (applied to NL) · United States grid average · world grid average (Australia not in the table) · world grid average (place not signed); Ember Global Electricity Review 2025 (2024 generation), location-based). Facility overhead is not included. A machine on its own solar is not credited until it can prove it.

Measured by

The people whose machines signed these numbers

and 6 more

proved by at least one build: Tool calling · Tool loop finished · Faithful to tool results · Structured output · Sustained output · Writes code · Synthesises sources · Follows instructions

Every build

Each its own file with its own page: the machines that ran it and their signatures.

buildenginewhose workmemorycontext provedbest tok/smachines
Q8_0 by ollamallama3.2:1bollamaollama2.9 GB32K49.916
Q4_K_M by bartowskihf.co/bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_Mollamaquantizer · bartowski1.1 GB16K103.94
Q4_K_M by maziyarpanahihf.co/MaziyarPanahi/Llama-3.2-1B-Instruct-GGUF:Q4_K_Mollamamaziyarpanahi—8K113.32
IQ3_XS by maziyarpanahihf.co/MaziyarPanahi/Llama-3.2-1B-Instruct-GGUF:IQ3_XSollamamaziyarpanahi—4K107.53
Q8_0 by bartowskihf.co/bartowski/Llama-3.2-1B-Instruct-GGUF:Q8_0ollamaquantizer · bartowski1.7 GB4K8.71
IQ1_S by maziyarpanahihf.co/MaziyarPanahi/Llama-3.2-1B-Instruct-GGUF:IQ1_Sollamamaziyarpanahi0.7 GB—105.04
Q3_K_L by bartowskihf.co/bartowski/Llama-3.2-1B-Instruct-GGUF:Q3_K_Lollamaquantizer · bartowski1.0 GB—10.41
F16 by bartowskihf.co/bartowski/Llama-3.2-1B-Instruct-GGUF:F16ollamaquantizer · bartowski3.0 GB—8.02
IQ3_M by bartowskihf.co/bartowski/Llama-3.2-1B-Instruct-GGUF:IQ3_Mollamaquantizer · bartowski1.0 GB—5.31
derivatives — somebody else's change to these weights

Fine-tunes, merges and abliterations of this member, each its own model with its own page. None of their numbers are counted above.

Llama-3.2-1B-Instruct-Q4_K_M-GGUF1 build measuredLlama-3.2-1B-Instruct-bf16not measuredLlama-3.2-1B-Instruct-LinkLlama-Cap50not measuredLlama-3.2-1B-Instructnot measured