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NVIDIA logo
Model A
Cosmos3-Edge

NVIDIA

Evidence status unavailable

90% interval unavailable

Cosmos3-Edge vs Interfaze Beta

Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Interfaze logo
Model B
Interfaze Beta

Interfaze

Evidence status unavailable

90% interval unavailable

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.

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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

    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

    Cosmos3-Edge 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

    Cosmos3-Edge 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

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

    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

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
0
Cosmos3-Edge only
0
Interfaze Beta only
9
Like-for-like categories
0 / 8

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.

Agentic

Not comparable
Cosmos3-Edge
Not ranked
Interfaze Beta
Not ranked
Basis
BenchAlign lane · 0 vs 0 public rows
Reading
Not comparable

Coding

Not comparable
Cosmos3-Edge
Not ranked
Interfaze Beta
Not ranked
Basis
BenchAlign lane · 0 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
Cosmos3-Edge
Not ranked
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Cosmos3-Edge
Not ranked
Interfaze Beta
51.4
Estimated · #83/181
Basis
BenchAlign lane · 0 vs 3 public rows
Reading
Not comparable

Math

Not comparable
Cosmos3-Edge
Not ranked
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Cosmos3-Edge
Not ranked
Interfaze Beta
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Cosmos3-Edge
Not ranked
Interfaze Beta
27.3
Unranked · 5 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Cosmos3-Edge
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) 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

Cosmos3-Edge
Self-hosted; infrastructure cost varies
Fits in one request
Interfaze Beta
$0.00325
Fits in one request

Cosmos3-Edge has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Cosmos3-Edge
Self-hosted; infrastructure cost varies
Fits in one request
Interfaze Beta
$0.0855
Fits in one request

Cosmos3-Edge has no comparable published API token rate.

Cache-heavy agent loop

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

Cosmos3-Edge
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Interfaze Beta
$0.365
Fits in one request
Cached input priced at the published list-input rate

Interfaze Beta has no published cached-input rate, so cached tokens use its listed input rate. Cosmos3-Edge 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.

Cosmos3-Edge

256K

Interfaze Beta

1M

API model ID

Cosmos3-Edge

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.

Cosmos3-Edge

No comparable hosted API rate

Interfaze Beta

Not published

Documented inputs

Cosmos3-Edge

Not sourced

Interfaze Beta

Not sourced

Documented outputs

Cosmos3-Edge

Not sourced

Interfaze Beta

Not sourced

Provider availability

Cosmos3-Edge

Not sourced

Interfaze Beta

Not sourced

Reasoning profile

Cosmos3-Edge

Reasoning

Interfaze Beta

Reasoning

Weight access

Cosmos3-Edge

Open Weight

Interfaze Beta

Proprietary

License

Cosmos3-Edge

Open Weight

Interfaze Beta

Proprietary

Release date

Cosmos3-Edge

2026-07-20

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.

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

    Cosmos3-Edge
    Interfaze Beta52.9%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Cosmos3-Edge
    Interfaze Beta89.9%
    Source

    Not directly comparable

  • GPQA-D

    Cosmos3-Edge
    Interfaze Beta89.9%
    Source

    Not directly comparable

  • MMMLU

    Cosmos3-Edge
    Interfaze Beta90.9%
    Source

    Not directly comparable

Multimodal

  • OCRBench V2

    Cosmos3-Edge
    Interfaze Beta70.7%
    Source

    Not directly comparable

  • olmOCR

    Cosmos3-Edge
    Interfaze Beta85.7%
    Source

    Not directly comparable

  • RefCOCO (avg)

    Cosmos3-Edge
    Interfaze Beta82.1%
    Source

    Not directly comparable

  • MMMU-Pro

    Cosmos3-Edge
    Interfaze Beta71.1%
    Source

    Not directly comparable

Instruction following

  • SOB Value Acc

    Cosmos3-Edge
    Interfaze Beta79.5%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Cosmos3-Edge 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, Cosmos3-Edge or Interfaze Beta?

Cosmos3-Edge 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, Cosmos3-Edge or Interfaze Beta?

Cosmos3-Edge and Interfaze Beta are not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Cosmos3-Edge 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, Cosmos3-Edge or Interfaze Beta?

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

Related comparisons

Last updated September 4, 2026

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