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Model A
Grok 4.1 Fast

xAI

47.26/100

Supported · Public rank #148

90% interval 23.071.6

Grok 4.1 Fast vs Grok 4.3

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

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Model B
Grok 4.3

xAI

59.73/100

Supported · Public rank #67

90% interval 50.569.0

Decision reading

Grok 4.3 has the higher public score estimate, 59.73 versus 47.26, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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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

    Grok 4.1 Fast

    Grok 4.1 Fast has the larger documented context window.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Grok 4.1 Fast

    Grok 4.1 Fast has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

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

    Grok 4.1 Fast

    Grok 4.1 Fast has the lower estimated token cost for this stated workload. Grok 4.1 Fast has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

Show secondary and unsupported calls
  • Repository review cost

    50K fresh input + 3K output tokens

    Grok 4.1 Fast

    Grok 4.1 Fast has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Grok 4.1 Fast is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    Grok 4.1 Fast is not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited

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 4.1 Fast only
0
Grok 4.3 only
6
Like-for-like categories
0 / 8

2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Knowledge

Directional only
Grok 4.1 Fast
40.6
Estimated · #130/183
Grok 4.3
57.0
Supported · #44/183
Basis
BenchAlign lane · 0 vs 2 public rows
Reading
Directional only

Instruction following

Directional only
Grok 4.1 Fast
42.1
#101/123
Grok 4.3
94.4
#2/123
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Directional only

Agentic

Not comparable
Grok 4.1 Fast
Not ranked
Grok 4.3
26.9
Supported · #144/152
Basis
BenchAlign lane · 1 vs 3 public rows
Reading
Not comparable

Coding

Not comparable
Grok 4.1 Fast
Not ranked
Grok 4.3
33.6
Supported · #131/151
Basis
BenchAlign lane · 0 vs 2 public rows
Reading
Not comparable

Reasoning

Not comparable
Grok 4.1 Fast
42.5
Unranked · 2 rankable rows
Grok 4.3
65.2
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Grok 4.1 Fast
Not ranked
Grok 4.3
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Grok 4.1 Fast
Not ranked
Grok 4.3
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Grok 4.1 Fast
31.3
Unranked · 1 rankable row
Grok 4.3
65.6
#25/48
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

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 4.1 Fast
$0.00045
Fits in one request
Grok 4.3
$0.0025
Fits in one request

Grok 4.1 Fast has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Grok 4.1 Fast
$0.0115
Fits in one request
Grok 4.3
$0.07
Fits in one request

Grok 4.1 Fast has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

Grok 4.1 Fast
$0.049
Fits in one request
Cached input priced at the published list-input rate
Grok 4.3
$0.09
Fits in one request

Grok 4.1 Fast has the lower modeled cost

Grok 4.1 Fast has no published cached-input rate, so cached tokens use its listed input 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 4.1 Fast

2M

Grok 4.3

1M

API model ID

Grok 4.1 Fast

Not sourced

Grok 4.3

Not sourced

Cached-input rate

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

Grok 4.1 Fast

Not published

Grok 4.3

$0.2 per 1M cached input tokens

Documented inputs

Grok 4.1 Fast

Not sourced

Grok 4.3

Not sourced

Documented outputs

Grok 4.1 Fast

Not sourced

Grok 4.3

Not sourced

Provider availability

Grok 4.1 Fast

Not sourced

Grok 4.3

Not sourced

Reasoning profile

Grok 4.1 Fast

Non-Reasoning

Grok 4.3

Reasoning

Weight access

Grok 4.1 Fast

Proprietary

Grok 4.3

Proprietary

License

Grok 4.1 Fast

Proprietary

Grok 4.3

Proprietary

Release date

Grok 4.1 Fast

2025-11-19

Grok 4.3

2026-04-30

If you already use one of these models
Deployment change
Both entries list xAI as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
Quality signal
Grok 4.3 has the higher public score estimate, 59.73 versus 47.26, but the 90% score intervals overlap.
Workload cost
Repository review: $0.0115 vs $0.07. Cache-heavy agent loop: $0.049 vs $0.09.
Context tradeoff
Grok 4.1 Fast has the larger documented window (2M).

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

Benchmark evidence

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

Browse raw public benchmark evidence7 rows

Agentic

  • Grok 4.1 Fast47.32%
    Grok 4.343.86%

    Grok 4.1 Fast leads this result

  • ResearchClawBench

    Grok 4.1 Fast
    Grok 4.312.4%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Grok 4.1 Fast
    Grok 4.341.9%
    Source

    Not directly comparable

Coding

  • LiveCodeBench (Vals)

    Grok 4.1 Fast
    Grok 4.384.5%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Grok 4.1 Fast
    Grok 4.371.4%
    Source

    Not directly comparable

Knowledge

  • GPQA Diamond (Vals)

    Grok 4.1 Fast
    Grok 4.391.4%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    Grok 4.1 Fast
    Grok 4.385.8%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Grok 4.1 Fast or Grok 4.3?

Grok 4.3 has the higher public score estimate, 59.73 versus 47.26, 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 4.1 Fast or Grok 4.3?

Grok 4.1 Fast is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Grok 4.1 Fast or Grok 4.3?

Grok 4.1 Fast is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Grok 4.1 Fast or Grok 4.3?

For the stated presets, chat costs $0.00045 on Grok 4.1 Fast and $0.0025 on Grok 4.3; repository review costs $0.0115 and $0.07; the cache-heavy agent loop costs $0.049 and $0.09. Grok 4.1 Fast has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Grok 4.1 Fast or Grok 4.3?

Grok 4.1 Fast has the larger documented context window: 2M, compared with 1M.

Related comparisons

Last updated September 10, 2026

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