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BenchLM

Grok Code Fast 1 vs Interfaze Beta

Updated September 24, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

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Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
xAI logo

xAI

32.05/100

Estimated · Public rank #144

90% interval 26.3–37.8

Model B
Interfaze logo

Interfaze

—

Evidence status unavailable

90% interval unavailable

Shared results
0
Grok Code Fast 1 only
2
Interfaze Beta only
9
Like-for-like categories
0 / 8
Estimated: Grok Code Fast 1How the comparison works

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

    Interfaze Beta

    Interfaze Beta has the larger documented context window.

    Confidence: documented
  • Chat turn cost

    1K fresh input + 500 output tokens

    Grok Code Fast 1

    Grok Code Fast 1 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 Code Fast 1

    Grok Code Fast 1 has the lower estimated token cost for this stated workload. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate. Interfaze Beta 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 Code Fast 1

    Grok Code Fast 1 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

    Interfaze Beta 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 Code Fast 1 and Interfaze Beta are not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

21.8Grok Code Fast 1—Interfaze Beta

Not comparable · BenchAlign v5.7

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

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

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.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.7 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.

Agentic

Not comparable
Grok Code Fast 1
Not ranked
Interfaze Beta
Not ranked
Basis
BenchAlign v5.7 lane · 0 vs 0 public rows
Reading
Not comparable

Coding

Not comparable
Grok Code Fast 1
21.8
Estimated · #112/135
Interfaze Beta
Not ranked
Basis
BenchAlign v5.7 lane · 2 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
Grok Code Fast 1
58.5
Unranked · 2 rankable rows
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Grok Code Fast 1
Not ranked
Interfaze Beta
27.6
Unranked · 5 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Grok Code Fast 1
35.9
Estimated · #104/158
Interfaze Beta
Not ranked
Basis
BenchAlign v5.7 lane · 0 vs 3 public rows
Reading
Not comparable

Multilingual

Not comparable
Grok Code Fast 1
Not ranked
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Grok Code Fast 1
46.8
#87/124
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Grok Code Fast 1
Not ranked
Interfaze Beta
Not ranked
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 v5.7) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Bars run 0–100Methodology

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 Code Fast 1
$0.00095
Fits in one request
Interfaze Beta
$0.00325
Fits in one request

Grok Code Fast 1 has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Grok Code Fast 1
$0.0145
Fits in one request
Interfaze Beta
$0.0855
Fits in one request

Grok Code Fast 1 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 Code Fast 1
$0.059
Fits in one request
Cached input priced at the published list-input rate
Interfaze Beta
$0.365
Fits in one request
Cached input priced at the published list-input rate

Grok Code Fast 1 has the lower modeled cost

Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate. Interfaze Beta has no published cached-input rate, so cached tokens use its listed input rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

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 Code Fast 1

256K

Interfaze Beta

1M

API model ID

Grok Code Fast 1

Not sourced

Interfaze Beta

Not sourced

Cached-input rate

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

Grok Code Fast 1

Not published

Interfaze Beta

Not published

Documented inputs

Grok Code Fast 1

Not sourced

Interfaze Beta

Not sourced

Documented outputs

Grok Code Fast 1

Not sourced

Interfaze Beta

Not sourced

Provider availability

Grok Code Fast 1

Not sourced

Interfaze Beta

Not sourced

Reasoning profile

Grok Code Fast 1

Non-Reasoning

Interfaze Beta

Reasoning

Weight access

Grok Code Fast 1

Proprietary

Interfaze Beta

Proprietary

License

Grok Code Fast 1

Proprietary

Interfaze Beta

Proprietary

Release date

Grok Code Fast 1

2025-08-28

Interfaze Beta

2026-05-11

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
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
Repository review: $0.0145 vs $0.0855. Cache-heavy agent loop: $0.059 vs $0.365.
Context tradeoff
Interfaze Beta has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Grok Code Fast 1 or Interfaze Beta?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Grok Code Fast 1 or Interfaze Beta?

Interfaze Beta is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Grok Code Fast 1 or Interfaze Beta?

Grok Code Fast 1 and Interfaze Beta are not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Grok Code Fast 1 or Interfaze Beta?

For the stated presets, chat costs $0.00095 on Grok Code Fast 1 and $0.00325 on Interfaze Beta; repository review costs $0.0145 and $0.0855; the cache-heavy agent loop costs $0.059 and $0.365. Grok Code Fast 1 has no published cached-input rate, so cached tokens use its listed input rate. Interfaze Beta has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Grok Code Fast 1 or Interfaze Beta?

Interfaze Beta has the larger documented context window: 1M, compared with 256K.

Benchmark evidence

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

Browse raw public benchmark evidence11 rows

Coding

  • SWE-bench Verified

    Grok Code Fast 170.8%
    Source
    Interfaze Beta—

    Not directly comparable

  • LiveCodeBench (Vals)

    Grok Code Fast 162.0%
    Source
    Interfaze Beta—

    Not directly comparable

  • Spider 2.0-Lite

    Grok Code Fast 1—
    Interfaze Beta52.9%
    Source

    Not directly comparable

Multimodal

  • OCRBench V2

    Grok Code Fast 1—
    Interfaze Beta70.7%
    Source

    Not directly comparable

  • olmOCR

    Grok Code Fast 1—
    Interfaze Beta85.7%
    Source

    Not directly comparable

  • RefCOCO (avg)

    Grok Code Fast 1—
    Interfaze Beta82.1%
    Source

    Not directly comparable

  • MMMU-Pro

    Grok Code Fast 1—
    Interfaze Beta71.1%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Grok Code Fast 1—
    Interfaze Beta89.9%
    Source

    Not directly comparable

  • GPQA-D

    Grok Code Fast 1—
    Interfaze Beta89.9%
    Source

    Not directly comparable

  • MMMLU

    Grok Code Fast 1—
    Interfaze Beta90.9%
    Source

    Not directly comparable

Instruction following

  • SOB Value Acc

    Grok Code Fast 1—
    Interfaze Beta79.5%
    Source

    Not directly comparable

11 public results · 0 shared

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Last updated September 24, 2026