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Model profile

Interfaze Beta

InterfazeCurrentReleased May 11, 2026
Data verified
Overall Score
Unranked
Arena Elo
Not listed
Eligible category ranks
0of 8
Price (1M tokens)
$1.5 in / $3.5 out
API pricing
Speed
Not listed
Context
1M

Evidence coverage

10 of 323 tracked benchmarks are published. 10 are verified and 0 provisional. 4 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
10 / 323
Verified
10
Provisional
0
Categories with evidence
4 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding1 benchmark
    Verified
  • Reasoning0 benchmarks
    Not measured
  • Knowledge3 benchmarks
    Verified
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal5 benchmarks
    Verified
  • Inst. Following1 benchmark
    Verified
ProprietaryReasoning
Confidence:
Low
beta

BenchLM is tracking Interfaze Beta, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.

Interfaze Beta is a proprietary model with a 1M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

This profile currently has 10 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 77.4483.93

  1. Claude Mythos 5
    Anthropic
    #183.93
    Claude Mythos 5 is #1 with a score of 83.93.
    Compare
  2. Claude Fable 5
    Anthropic
    #283.68
    Claude Fable 5 is #2 with a score of 83.68.
    Compare
  3. GPT-5.6 Sol
    OpenAI
    #381.96
    GPT-5.6 Sol is #3 with a score of 81.96.
    Compare
  4. Kimi K3
    Moonshot AI
    #480.96
    Kimi K3 is #4 with a score of 80.96.
    Compare
  5. Claude Opus 4.8
    Anthropic
    #578.34
    Claude Opus 4.8 is #5 with a score of 78.34.
    Compare
  6. Muse Spark 1.1
    Meta
    #677.44
    Muse Spark 1.1 is #6 with a score of 77.44.
    Compare
  7. Interfaze BetaCurrent model
    Interfaze
    UnrankedNot measured
    Interfaze Beta is Unranked with a score of Not measured.

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

No eligible category percentile is available from the published evidence yet.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%1 benchmarkVerifiedScore pending
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank Not rankedWeight 12%3 benchmarksVerified78.6
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalRank Not rankedWeight 12%5 benchmarksVerified35.8
Inst. FollowingWeight 5%1 benchmarkVerifiedScore pending

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Coding1 benchmark
Spider 2.0-LiteProvider exact
52.9%Display only
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports Spider 2.0-Lite at 52.9% in the launch comparison table.
Knowledge3 benchmarks
GPQAProvider exact

Graduate-Level Google-Proof Q&A

89.9%Weighted 7%
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports GPQA Diamond at 89.9%. BenchLM stores that exact value on the weighted GPQA lane and the display GPQA-Diamond lane.
GPQA-DProvider exact

GPQA Diamond

89.9%Display only
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports GPQA Diamond at 89.9%.
MMMLUProvider exact
90.9%Display only
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports MMMLU at 90.9% in the launch comparison table.
Multimodal5 benchmarks
MMMU-ProProvider exact

Massive Multi-discipline Multimodal Understanding Pro

71.1%Weighted 45%
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports MMMU-Pro at 71.1% in the launch comparison table.
OCRBench V2Provider exact
70.7%Display only
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports OCRBench V2 at 70.7% in the launch comparison table.
olmOCRProvider exact

olmOCR-Bench

85.7%Display only
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports olmOCR at 85.7% in the launch comparison table.
RefCOCO (avg)Provider exact

RefCOCO average

82.1%Display only
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports RefCOCO at 82.1%. BenchLM stores it on the existing RefCOCO average key.
VoxPopuli WERProvider exact

VoxPopuli-Cleaned-AA Word Error Rate

2.4%Display only
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports VoxPopuli-Cleaned-AA WER at 2.4%; lower is better for this row.
Inst. Following1 benchmark
SOB Value AccProvider exact

Structured Output Benchmark Value Accuracy

79.5%Display only
Source: Interfaze: A new model architecture built for high accuracy at scaleProvenance: Interfaze reports SOB Value Accuracy at 79.5% in the launch comparison table.

Frequently Asked Questions

How does Interfaze Beta perform overall in AI benchmarks?

Interfaze Beta has 10 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Interfaze Beta good for knowledge and understanding?

Interfaze Beta has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.

Is Interfaze Beta good for coding and programming?

Interfaze Beta has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.

Is Interfaze Beta good for multimodal and grounded tasks?

Interfaze Beta has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.

Is Interfaze Beta good for instruction following?

Interfaze Beta has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.

Does Interfaze Beta have full benchmark coverage on BenchLM?

Not yet. Interfaze Beta currently has 10 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Interfaze Beta?

Interfaze Beta has a published context window of 1M, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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