Llama 4 Scout API pricing
Meta · Budget price tier · Llama 4 · released 2025-04. Prices in USD per 1 million tokens. Data snapshot: 2026-11-12.
A support ticket workload of 100K requests a month costs $30.00 on Llama 4 Scout. The price we quote for Llama 4 Scout has changed 4 times since 2026-08-15, most recently on 2026-10-17 when the quoted host changed (-48.6%); it is now the 51st cheapest of 160 models in the Budget price tier. None of its 2 hosts undercuts the price we quote. It is rated a stable release but does not meet all four criteria of the FinOps Friendly badge.
- Input: $0.10 per 1M tokens
- Output: $0.30 per 1M tokens
- Batch API (in/out): Not published
- Prompt-cache read: Not published
- Context window: 1M tokens
- Arena ELO: 1279 as of 2026-11-08
Available on
AWS Bedrock, Azure AI Foundry, Google Vertex, OpenRouter
AWS Bedrock regions: us-east-1, us-east-2, us-west-2
Curated by hand; check with the provider before committing.
Market position
On blended price ($0.24 per 1M tokens at 30% input, 70% output) it is cheaper than 66% of models in the Budget price tier: 51st cheapest of 160, tied with 4 others. Across every price tier it is cheaper than 82% of priced text models in the catalogue: 51st cheapest of 303, tied with 4 others. Its Arena ELO of 1279 ranks 142nd of the 160 models that carry one, above 11% of them. With an Arena score of 1279, Llama 4 Scout sits below OptimNow's lowest working quality threshold, Standard (Arena 1420+), so the quality-bar method would not shortlist it for any of the 8 use cases the table prices. Each threshold is a distance below the best ranked model, which scores 1530 on Arena scores as of 8 Nov 2026.
Licence, size and capabilities
Llama 4 Scout is open weights, which is not the same as open source: the weights are published, but under Llama 4, a licence that restricts some uses. Read it before self-hosting commercially. Its published size is 109B parameters. Listed capabilities: Text, Vision, Agents. Filling its 1M context window once costs $0.10 in input tokens at list price.
Pricing by host
A host is a company that runs the model and sells it by the token: the model maker, a cloud platform like Amazon Bedrock, Azure or Vertex, or an independent host. One model, several hosts, and often several prices. This model is sold by 2 different hosts. The price we quote elsewhere on this page is marked. We quote one host's rate so that models stay comparable; it is not a recommendation to buy there.
The price we quote is already the cheapest of the 2 hosts: DeepInfra at $0.10 input / $0.30 output per 1M tokens. It serves a quantized fp8 build, which is not the same product as the full-precision model. The dearest, Google, charges 2.4x the cheapest.
| Host | Input $/1M | Output $/1M | Precision |
|---|---|---|---|
| DeepInfra (price we quote) | $0.10 | $0.30 | fp8 |
| $0.25 | $0.70 | not declared |
List prices as published on 2026-11-12, via OpenRouter. Negotiated rates, committed-use discounts and provisioned capacity are not shown.
Monthly cost at 100K requests, by business use case
From the after-discounts figure (prompt caching on the cached input share, batch API for async workloads, only where Meta publishes those rates), which assumes you implement both, to the list price. One figure means no discount is published.
| Use case | Tokens (in/out) | Monthly (after discounts – list) |
|---|---|---|
| Support Ticket | 1,500 / 500 | $30 |
| Knowledge Q&A | 2,000 / 800 | $44 |
| Meeting Summary | 10,000 / 1,200 | $136 |
| Marketing Content | 2,500 / 1,800 | $79 |
| Coding Task | 3,000 / 2,000 | $90 |
| Invoice Processing | 1,500 / 600 | $33 |
| Call Summary | 2,000 / 700 | $41 |
| Agent Workflow | 6,000 / 3,000 | $150 |
Price history
Llama 4 Scout has been in our daily price archive since tracking began on 2026-08-15, when it listed at $0.10 input / $0.30 output per 1M tokens. The price we quote has changed 4 times since then, 3 of them a change of quoted host rather than a repricing. The latest change, on 2026-10-17, was -48.6% on the blended price (30% input, 70% output), to $0.10 input / $0.30 output (quoted host changed, not a repricing). Net of all changes, the blended price is back where it started on 2026-08-15.
| Date | Old price (in / out) | New price (in / out) | Blended change |
|---|---|---|---|
| 2026-10-17 | $0.18 / $0.59 | $0.10 / $0.30 | -48.6% (quoted host changed, not a repricing) |
| 2026-10-12 | $0.10 / $0.30 | $0.18 / $0.59 | +94.6% (quoted host changed, not a repricing) |
| 2026-09-01 | $0.11 / $0.34 | $0.10 / $0.30 | -11.4% (quoted host changed, not a repricing) |
| 2026-08-26 | $0.10 / $0.30 | $0.11 / $0.34 | +12.9% |
Alternatives to Llama 4 Scout
None of the 4 comparable models below costs less than Llama 4 Scout on the blended price.
- Next cheaper model in the Budget price tier: MiMo-V2.6-Flash (Xiaomi) at $0.238 blended, 1% less.
- Next more expensive: Llama 3.2 3B Instruct (Meta) at $0.246 blended, 3% more.
The nearest models in the Budget price tier on Arena ELO, each with its blended price and score difference against Llama 4 Scout.
- Mistral Small 3.1 24B (Mistral): $0.351 in / $0.555 out per 1M, Arena ELO 1277 (106% more expensive, 2 ELO points lower)
- Llama 3.3 70B Instruct (Meta): $0.71 in / $0.71 out per 1M, Arena ELO 1274 (196% more expensive, 5 ELO points lower)
- GPT-4.1 Nano (OpenAI): $0.10 in / $0.40 out per 1M, Arena ELO 1285 (29% more expensive, 6 ELO points higher)
- GPT-4o-mini (OpenAI): $0.15 in / $0.60 out per 1M, Arena ELO 1286 (94% more expensive, 7 ELO points higher)
- Cheapest within 15 Arena points: Gemma 3 4B (Google), 65% cheaper, 12 ELO points higher, out of 11 models in that band.
- Highest Arena ELO within 20% of this price: DeepSeek V4.1 Flash (DeepSeek), 19% more expensive, 184 ELO points higher, out of 10 models in that price band.
Other models from Meta
The 8 nearest to Llama 4 Scout in price, of 16 other Meta models in the catalogue. Prices per 1M tokens, input then output.
- Llama 3.2 1B Instruct: $0.027 / $0.201
- Muse Spark 1.2 Contributor: $0.10 / $0.20
- Muse Spark 1.3 Contributor: $0.10 / $0.20
- Llama Guard 4 12B: $0.18 / $0.18
- Llama 3.2 3B Instruct: $0.05 / $0.33
- Muse Ember: $0.10 / $0.50
- Llama 3.3 70B Instruct: $0.71 / $0.71
- Llama 3.1 70B Instruct: $0.72 / $0.72
Common questions about Llama 4 Scout pricing
- How much does Llama 4 Scout cost?
- Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens at DeepInfra, the host whose rate we quote. DeepInfra serves a quantized fp8 build, which is not the same product as the full-precision model. Prices as listed on 2026-11-12.
- Which host is cheapest for Llama 4 Scout?
- The price we quote is already the cheapest of the 2 hosts: DeepInfra at $0.10 input / $0.30 output per 1M tokens. It serves a quantized fp8 build, which is not the same product as the full-precision model. The dearest, Google, charges 2.4x the cheapest. Host rates as listed on 2026-11-12.
- Does Llama 4 Scout offer batch or cached pricing?
- No. Neither a batch rate nor a prompt-cache rate is published for Llama 4 Scout as of 2026-11-12.
- What would Llama 4 Scout cost per month?
- With the Support Ticket profile (1,500 input and 500 output tokens per request), 100,000 requests a month cost about $30 on Llama 4 Scout at the list price quoted on 2026-11-12.
- Can Llama 4 Scout be self-hosted?
- Yes, within the terms of its licence. Llama 4 Scout is open weights, which is not the same as open source: the weights are published, but under Llama 4, a licence that restricts some uses. Read it before self-hosting commercially.
- Has the price of Llama 4 Scout changed?
- Llama 4 Scout has been in our daily price archive since tracking began on 2026-08-15, when it listed at $0.10 input / $0.30 output per 1M tokens. The price we quote has changed 4 times since then, 3 of them a change of quoted host rather than a repricing. The latest change, on 2026-10-17, was -48.6% on the blended price (30% input, 70% output), to $0.10 input / $0.30 output (quoted host changed, not a repricing). Net of all changes, the blended price is back where it started on 2026-08-15.
Its weights are published, which changes what you may run yourself: the cost gap between open weights and proprietary APIs.
These are list prices. Your real cost also depends on caching and batching, negotiated discounts, marketplace agreements, and the contracts you already have. OptimNow audits exactly that.
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