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BenchLM

Claude 4.1 Opus Thinking 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
Anthropic logo

Anthropic

36.62/100

Estimated · Public rank #124

90% interval 22.7–50.5

Model B
Interfaze logo

Interfaze

—

Evidence status unavailable

90% interval unavailable

Shared results
0
Claude 4.1 Opus Thinking only
0
Interfaze Beta only
9
Like-for-like categories
0 / 8
Estimated: Claude 4.1 Opus ThinkingHow 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
Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Claude 4.1 Opus Thinking and Interfaze Beta are 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

    Claude 4.1 Opus Thinking and Interfaze Beta are not ranked on the public lane for agentic, so no winner is named for agentic.

    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. Claude 4.1 Opus Thinking does not fit this workload in one request. Interfaze Beta has no published cached-input rate, so cached tokens use its listed input rate. Claude 4.1 Opus Thinking has no comparable published API token rate.

    Confidence: rate-fallback
  • 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

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.

—Claude 4.1 Opus Thinking—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
Claude 4.1 Opus Thinking
Not ranked
Interfaze Beta
Not ranked
Basis
BenchAlign v5.7 lane · 0 vs 0 public rows
Reading
Not comparable

Coding

Not comparable
Claude 4.1 Opus Thinking
Not ranked
Interfaze Beta
Not ranked
Basis
BenchAlign v5.7 lane · 0 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
Claude 4.1 Opus Thinking
74.3
Unranked · 2 rankable rows
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Claude 4.1 Opus Thinking
60.1
Unranked · 1 rankable row
Interfaze Beta
27.6
Unranked · 5 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Claude 4.1 Opus Thinking
41.5
Estimated · #85/158
Interfaze Beta
Not ranked
Basis
BenchAlign v5.7 lane · 0 vs 3 public rows
Reading
Not comparable

Multilingual

Not comparable
Claude 4.1 Opus Thinking
Not ranked
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude 4.1 Opus Thinking
65.1
#69/124
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Claude 4.1 Opus Thinking
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

Claude 4.1 Opus Thinking
API rate not published
Fits in one request
Interfaze Beta
$0.00325
Fits in one request

Claude 4.1 Opus Thinking has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Claude 4.1 Opus Thinking
API rate not published
Fits in one request
Interfaze Beta
$0.0855
Fits in one request

Claude 4.1 Opus Thinking has no comparable published API token rate.

Cache-heavy agent loop

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

Claude 4.1 Opus Thinking
API rate not published
Does not fit in one request
Cached-input rate unavailable
Interfaze Beta
$0.365
Fits in one request
Cached input priced at the published list-input rate

Claude 4.1 Opus Thinking does not fit this workload in one request. Interfaze Beta has no published cached-input rate, so cached tokens use its listed input rate. Claude 4.1 Opus Thinking has no comparable published API token 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.

Claude 4.1 Opus Thinking

200K

Interfaze Beta

1M

API model ID

Claude 4.1 Opus Thinking

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.

Claude 4.1 Opus Thinking

No comparable hosted API rate

Interfaze Beta

Not published

Documented inputs

Claude 4.1 Opus Thinking

Not sourced

Interfaze Beta

Not sourced

Documented outputs

Claude 4.1 Opus Thinking

Not sourced

Interfaze Beta

Not sourced

Provider availability

Claude 4.1 Opus Thinking

Not sourced

Interfaze Beta

Not sourced

Reasoning profile

Claude 4.1 Opus Thinking

Reasoning

Interfaze Beta

Reasoning

Weight access

Claude 4.1 Opus Thinking

Proprietary

Interfaze Beta

Proprietary

License

Claude 4.1 Opus Thinking

Proprietary

Interfaze Beta

Proprietary

Release date

Claude 4.1 Opus Thinking

2025-08-01

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
A complete comparable API-rate estimate is not available for both models.
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, Claude 4.1 Opus Thinking 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, Claude 4.1 Opus Thinking or Interfaze Beta?

Claude 4.1 Opus Thinking and Interfaze Beta are not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Claude 4.1 Opus Thinking or Interfaze Beta?

Claude 4.1 Opus Thinking and Interfaze Beta are not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Claude 4.1 Opus Thinking or Interfaze Beta?

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, Claude 4.1 Opus Thinking or Interfaze Beta?

Interfaze Beta has the larger documented context window: 1M, compared with 200K.

Benchmark evidence

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

Browse raw public benchmark evidence9 rows

Coding

  • Spider 2.0-Lite

    Claude 4.1 Opus Thinking—
    Interfaze Beta52.9%
    Source

    Not directly comparable

Multimodal

  • OCRBench V2

    Claude 4.1 Opus Thinking—
    Interfaze Beta70.7%
    Source

    Not directly comparable

  • olmOCR

    Claude 4.1 Opus Thinking—
    Interfaze Beta85.7%
    Source

    Not directly comparable

  • RefCOCO (avg)

    Claude 4.1 Opus Thinking—
    Interfaze Beta82.1%
    Source

    Not directly comparable

  • MMMU-Pro

    Claude 4.1 Opus Thinking—
    Interfaze Beta71.1%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Claude 4.1 Opus Thinking—
    Interfaze Beta89.9%
    Source

    Not directly comparable

  • GPQA-D

    Claude 4.1 Opus Thinking—
    Interfaze Beta89.9%
    Source

    Not directly comparable

  • MMMLU

    Claude 4.1 Opus Thinking—
    Interfaze Beta90.9%
    Source

    Not directly comparable

Instruction following

  • SOB Value Acc

    Claude 4.1 Opus Thinking—
    Interfaze Beta79.5%
    Source

    Not directly comparable

9 public results · 0 shared

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Last updated September 24, 2026