Alternatives to Llama 3.2 1B Instruct

Meta LMArena 1054.6 $0.071/M on a balanced workload prices as of 2026-10-06

3 models are higher-scoring or cheaper, with neither dimension worse.

Of the 144 models carrying both an independent score and a published price at the same delivery mode, 8 score at least as high as Llama 3.2 1B Instruct and cost no more under at least one listed workload, with at least one of those dimensions improved. 3 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. 5 have a recorded capability loss, named on every row.

Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.

This page is built only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, it is not generated.

Where it holds

WorkloadLlama 3.2 1B Instruct $/MRecorded capabilities preservedRecorded capability losses
Balanced$0.07123
Summarise$0.03611
Chat$0.09724
Code gen$0.13135
Agentic$0.05321

Workload mixes are defined on the methodology page. Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.

What you would be replacing

Intelligence1054.6
Context window60K
Max output54K
Input modestext
Tool useno
Extended reasoningno

Preserving recorded capabilities requires matching or beating these fields. Full record for Llama 3.2 1B Instruct, or check Llama 3.2 1B Instruct against the whole catalogue.

Recorded capabilities preserved 3

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats Llama 3.2 1B Instruct on recorded context, maximum output, input modes, tool use and extended reasoning.

#ModelIntelligence$/MHolds under
1gpt-oss-120b OpenAI1365.4 +310.8$0.065
  • Balanced −8%
  • Chat −11%
  • Code gen −13%
  • Agentic −4%
2Llama 3.1 8B Instruct Meta1186.5 +131.9$0.025
  • Balanced −65%
  • Summarise −41%
  • Chat −71%
  • Code gen −76%
  • Agentic −57%
3Gemma 3 27B Google1357.8 +303.2$0.128 code gen
  • Code gen −3%

Alternatives with recorded capability losses 5

These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.

ModelIntelligence$/MHolds underRecorded capability loss
gpt-oss-20b OpenAI1287.7 +233.1$0.036
  • Balanced −49%
  • Summarise −47%
  • Chat −54%
  • Code gen −54%
  • Agentic −56%
  • 54K → 33K max output
Gemma 3 4B Google1290.8 +236.2$0.063
  • Balanced −11%
  • Chat −28%
  • Code gen −39%
  • 54K → 16K max output
Mistral Small 3 Mistral1233.6 +179$0.058
  • Balanced −18%
  • Chat −36%
  • Code gen −48%
  • 60K → 33K context
  • 54K → 16K max output
Gemma 3 12B Google1334.2 +279.6$0.090 chat
  • Chat −7%
  • Code gen −16%
  • 54K → 16K max output
Phi 4 Microsoft1216.7 +162.1$0.112 code gen
  • Code gen −15%
  • 60K → 16K context
  • 54K → 15K max output

What this compares, and what it leaves out

  • Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.47 points, so a gap smaller than that is marked tie rather than an improvement — see significance bands.
  • 204 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
  • Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
  • Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
  • Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the value frontier. Models with such an alternative are listed here.
Evidence & Ask