---
title: "Meta: Llama 3.2 1B Instruct — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/meta-llama__llama-3.2-1b-instruct/
description: "Meta: Llama 3.2 1B Instruct: $0.027/M in, $0.201/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements."
---

# Meta: Llama 3.2 1B Instruct — price, capability and what beats it · Undominated.ai

> Meta: Llama 3.2 1B Instruct: $0.027/M in, $0.201/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements.

[Check base rates for this workload](/check/meta-llama__llama-3.2-1b-instruct/) [Cheaper alternatives](/alternatives/meta-llama__llama-3.2-1b-instruct/) [Family](/families/llama/) [Compare models](https://undominated.ai/compare/?models=meta-llama%2Fllama-3.2-1b-instruct) Comparison context

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Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls.

MODEL PROOF

# Llama 3.2 1B Instruct

Meta · 25 Sept 2024

 Balanced Summarise Chat Code gen Agentic

BETTER VALUE OPTION

## A stored alternative has an equal-or-higher measured score and an equal-or-lower price.

 **$0.071** / 1M tokens Balanced · 3 tokens in per 1 out

deal-only price: No offer passes the like-for-like test, so this price is a fallback: precision not disclosed. · precision not disclosed: The seller whose offer sets this price does not declare its serving precision. It is not read as full precision.

[gpt-oss-120b](/models/openai__gpt-oss-120b/) · Δ score 310.8 points · 8% lower measured price · $0.065 / 1M tokens

[gpt-oss-20b](/models/openai__gpt-oss-20b/) is a further stored option with these losses: 54K → 33K max output

Evidence as of 06 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,054.6 ± 7.7 · 8,045 votes
 Context window 60K
 Maximum output 54K
 Input modalities text
 Output modalities text
 Published input price $0.027 / 1M tokens
 Published output price $0.201 / 1M tokens
 Pricing kind fixed

Inspect [complete billing conditions](#billing-details) and endpoint terms below.

Price from Cloudflare: no serving offer passes the like-for-like test, so this is a fallback. deal-only price precision not disclosed The seller whose offer sets this price does not declare its serving precision. It is not read as full precision.

 Every price dimension · USD per million tokens

| Input | $0.027 /M |
| --- | --- |
| Output | $0.201 /M |
| Cached input | Unknown /M |
| Cache write | Unknown /M |
| Cache write 1h | Unknown /M |
| Reasoning | Unknown /M |

### Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

 1 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

| Seller | Input | Output | Precision | Uptime (1d) |
| --- | --- | --- | --- | --- |
| Seller Cloudflare cloudflare Endpoint terms Cached input /M Unknown Context limit 60,000 tokens Output limit 54,000 tokens Tools Not listed by endpoint Reasoning Not listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.027 | Output $0.201 | Precision undeclared | Uptime (1d) 100.00% |

### Independent scores

| LMArena Elo | 1054.6 default |
| --- | --- |

LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero.

### Capability

| Context window | 60K |
| --- | --- |
| Max output | 54K |
| Input modes | text |
| Tool use | no |
| Reasoning | no |
| Knowledge cutoff | 2023-12-31 |
| Open weights | Unknown |

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-06 |
| Quality data | verified |

People search Llama 3.2 1B Instruct under spaced, hyphenated, and OpenRouter-id forms. This is that API row, not the 3B instruct SKU.

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...

## Questions this page answers

 What does Llama 3.2 1B Instruct cost?

$0.027/M in, $0.201/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Llama 3.2 1B Instruct have an independent quality score?

Llama 3.2 1B Instruct has an LMArena score in this catalogue.

 What beats Llama 3.2 1B Instruct?

gpt-oss-120b has an equal-or-higher measured score and an equal-or-lower price.

 Does this page use Artificial Analysis scores for Llama 3.2 1B Instruct?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

MODEL MONUMENT

## Save or share this proof

 Download proof card · 1200 × 630 Preview and more sharing options

Meta: Llama 3.2 1B Instruct. Balanced workload. Better value option available. Evidence as of 06 Oct 2026.

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## Related

 - Both better and cheaper [gpt-oss-120b](/models/openai__gpt-oss-120b/)
- Higher score and cheaper, with a named trade [gpt-oss-20b](/models/openai__gpt-oss-20b/)
- Nearby on the capability axis [Llama 3.2 3B Instruct](/models/meta-llama__llama-3.2-3b-instruct/)
- Same vendor [Llama 3.1 70B Instruct](/models/meta-llama__llama-3.1-70b-instruct/)
- Meta models [Meta](/providers/meta/)
- Where this model appears [significance](/significance/)
- Nearby on the capability axis [Llama 3.1 8B Instruct](/models/meta-llama__llama-3.1-8b-instruct/)
- Same vendor [Llama 3.3 70B Instruct](/models/meta-llama__llama-3.3-70b-instruct/)
- Where this model appears [cheapest-at](/cheapest-at/)
- Nearby on the capability axis [Command R (08-2024)](/models/cohere__command-r-08-2024/)
- Same vendor [Muse Spark 1.1](/models/meta__muse-spark-1.1/)

## Badge

The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

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 - [Explore model families](/families/)
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- [Understand the evidence](/methodology/)
