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Model A
Grok 3 [Beta]

xAI

40.64/100

Supported · Public rank #207

90% interval 8.872.5

Grok 3 [Beta] vs Llama 4 Scout

Updated September 3, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

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Model B
Llama 4 Scout

Meta

39.79/100

Supported · Public rank #212

90% interval 20.758.8

Decision reading

Grok 3 [Beta] has the higher public score estimate, 40.64 versus 39.79, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Llama 4 Scout

    Llama 4 Scout has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Grok 3 [Beta] does not fit this workload in one request. Grok 3 [Beta] has no comparable published API token rate. Llama 4 Scout has no comparable published API token rate.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
1
Grok 3 [Beta] only
1
Llama 4 Scout only
0
Like-for-like categories
0 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Math

Directional only
Grok 3 [Beta]
2.8
Llama 4 Scout
Not measured
Weighted basis
2 vs 1 rows
Reading
Directional only

Agentic

Not comparable
Grok 3 [Beta]
Not measured
Llama 4 Scout
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Grok 3 [Beta]
Not measured
Llama 4 Scout
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Grok 3 [Beta]
Not measured
Llama 4 Scout
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Grok 3 [Beta]
Not measured
Llama 4 Scout
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Grok 3 [Beta]
Not measured
Llama 4 Scout
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Grok 3 [Beta]
Not measured
Llama 4 Scout
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Grok 3 [Beta]
Not measured
Llama 4 Scout
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

  • FrontierMath v2 (Tiers 1-3)

    Math

    Grok 3 [Beta]: 3.793%Llama 4 Scout: 0.000%Normalized gap 3.8Shared source

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Grok 3 [Beta]
API rate not published
Fits in one request
Llama 4 Scout
Self-hosted; infrastructure cost varies
Fits in one request

Grok 3 [Beta] has no comparable published API token rate. Llama 4 Scout has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Grok 3 [Beta]
API rate not published
Fits in one request
Llama 4 Scout
Self-hosted; infrastructure cost varies
Fits in one request

Grok 3 [Beta] has no comparable published API token rate. Llama 4 Scout has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Grok 3 [Beta]
API rate not published
Does not fit in one request
Cached-input rate unavailable
Llama 4 Scout
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Grok 3 [Beta] does not fit this workload in one request. Grok 3 [Beta] has no comparable published API token rate. Llama 4 Scout has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Grok 3 [Beta]

128K

Llama 4 Scout

10M

API model ID

Grok 3 [Beta]

Not sourced

Llama 4 Scout

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Grok 3 [Beta]

No comparable hosted API rate

Llama 4 Scout

No comparable hosted API rate

Documented inputs

Grok 3 [Beta]

Not sourced

Llama 4 Scout

Not sourced

Documented outputs

Grok 3 [Beta]

Not sourced

Llama 4 Scout

Not sourced

Provider availability

Grok 3 [Beta]

Not sourced

Llama 4 Scout

Not sourced

Reasoning profile

Grok 3 [Beta]

Non-Reasoning

Llama 4 Scout

Non-Reasoning

Weight access

Grok 3 [Beta]

Proprietary

Llama 4 Scout

Open Weight

License

Grok 3 [Beta]

Proprietary

Llama 4 Scout

Open Weight

Release date

Grok 3 [Beta]

2025-02-19

Llama 4 Scout

2026-02-28

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
Grok 3 [Beta] has the higher public score estimate, 40.64 versus 39.79, but the 90% score intervals overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Llama 4 Scout has the larger documented window (10M).

Run the same representative tasks against both endpoints before changing production traffic.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Grok 3 [Beta]
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Llama 4 Scout
API / mo$0
Self-host / mo$2,278
Break-even
Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence2 rows

Math

  • FrontierMath v2 (Tiers 1-3)

    Shared source
    Grok 3 [Beta]3.793%
    Llama 4 Scout0.000%

    Grok 3 [Beta] leads this result

  • FrontierMath v2 (Tier 4)

    Grok 3 [Beta]0.000%
    Source
    Llama 4 Scout

    Not directly comparable

Frequently asked questions

Which is better, Grok 3 [Beta] or Llama 4 Scout?

Grok 3 [Beta] has the higher public score estimate, 40.64 versus 39.79, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Grok 3 [Beta] or Llama 4 Scout?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Grok 3 [Beta] or Llama 4 Scout?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Grok 3 [Beta] or Llama 4 Scout?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Grok 3 [Beta] or Llama 4 Scout?

Llama 4 Scout has the larger documented context window: 10M, compared with 128K.

Related comparisons

Last updated September 3, 2026

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