Interfaze Beta vs Qwen3.6-27B

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

Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. 3 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Interfaze Beta

Interfaze

—

Evidence status unavailable

90% interval unavailable

Model B

Qwen3.6-27B

Alibaba

46.49/100

Estimated · Public rank #89

90% interval 38.3–54.7

Shared results: 3
Interfaze Beta only: 6
Qwen3.6-27B only: 36
Like-for-like categories: 0 / 8

Estimated: Qwen3.6-27BHow 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
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
Interfaze Beta is 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

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.

Pick the job you would use them for

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

—Interfaze Beta37.7Qwen3.6-27B

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.

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

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.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

MMMU-ProMultimodal
Normalized gap 4.7
Interfaze Beta:71.1%
Qwen3.6-27B:75.8%
Interfaze Beta source Qwen3.6-27B source
GPQAKnowledge
Normalized gap 2.1
Interfaze Beta:89.9%
Qwen3.6-27B:87.8%
Interfaze Beta source Qwen3.6-27B source

Bars run 0–100 on each benchmark’s normalized display scale

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

Interfaze Beta: Not ranked
Qwen3.6-27B: 28.1; Supported · #71/105
Basis: BenchAlign v5.7 lane · 0 vs 6 public rows
Reading: Not comparable

Coding

Not comparable

Interfaze Beta: Not ranked
Qwen3.6-27B: 37.7; Supported · #63/135
Basis: BenchAlign v5.7 lane · 1 vs 7 public rows
Reading: Not comparable

Reasoning

Not comparable

Interfaze Beta: Not ranked
Qwen3.6-27B: 75.2; Unranked · 2 rankable rows
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Multimodal

Not comparable

Interfaze Beta: 27.6; Unranked · 5 rankable rows
Qwen3.6-27B: 51.9; #37/50
Basis: Provisional lane · 1 vs 2 weighted rows
Reading: Not comparable

Knowledge

Not comparable

Interfaze Beta: Not ranked
Qwen3.6-27B: 45.7; Estimated · #72/158
Basis: BenchAlign v5.7 lane · 3 vs 6 public rows
Reading: Not comparable

Multilingual

Not comparable

Interfaze Beta: Not ranked
Qwen3.6-27B: Not ranked
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Instruction following

Not comparable

Interfaze Beta: Not ranked
Qwen3.6-27B: 81.0; #52/124
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Math

Not comparable

Interfaze Beta: Not ranked
Qwen3.6-27B: 72.1; Unranked · 5 rankable rows
Basis: Provisional lane · 0 vs 2 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Interfaze Beta and Qwen3.6-27B
Category	Interfaze Beta	Qwen3.6-27B	Basis	Reading
Agentic	Not ranked	28.1Supported · #71/105	Not comparableBenchAlign v5.7 lane · 0 vs 6 public rows	Not comparable
Coding	Not ranked	37.7Supported · #63/135	Not comparableBenchAlign v5.7 lane · 1 vs 7 public rows	Not comparable
Reasoning	Not ranked	75.2Unranked · 2 rankable rows	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Multimodal	27.6Unranked · 5 rankable rows	51.9#37/50	Not comparableProvisional lane · 1 vs 2 weighted rows	Not comparable
Knowledge	Not ranked	45.7Estimated · #72/158	Not comparableBenchAlign v5.7 lane · 3 vs 6 public rows	Not comparable
Multilingual	Not ranked	Not ranked	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Instruction following	Not ranked	81.0#52/124	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Math	Not ranked	72.1Unranked · 5 rankable rows	Not comparableProvisional lane · 0 vs 2 weighted rows	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.

Supported evidence per lane · 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

Interfaze Beta: $0.00325; Fits in one request
Qwen3.6-27B: Self-hosted; infrastructure cost varies; Fits in one request

Qwen3.6-27B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Interfaze Beta: $0.0855; Fits in one request
Qwen3.6-27B: Self-hosted; infrastructure cost varies; Fits in one request

Qwen3.6-27B has no comparable published API token rate.

Cache-heavy agent loop

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

Interfaze Beta: $0.365; Fits in one request; Cached input priced at the published list-input rate
Qwen3.6-27B: Self-hosted; infrastructure cost varies; Fits in one request; Cached-input rate unavailable

Interfaze Beta has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.6-27B 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.

SpecificationInterfaze BetaQwen3.6-27B

Context window

Maximum documented context; output-token limits may be lower.

Interfaze Beta

Qwen3.6-27B

262K

API model ID

Interfaze Beta

Not sourced

Qwen3.6-27B

Not sourced

Cached-input rate

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

Interfaze Beta

Not published

Qwen3.6-27B

No comparable hosted API rate

Documented inputs

Interfaze Beta

Not sourced

Qwen3.6-27B

Not sourced

Documented outputs

Interfaze Beta

Not sourced

Qwen3.6-27B

Not sourced

Provider availability

Interfaze Beta

Not sourced

Qwen3.6-27B

Not sourced

Reasoning profile

Interfaze Beta

Reasoning

Qwen3.6-27B

Reasoning

Weight access

Interfaze Beta

Proprietary

Qwen3.6-27B

Open Weight

License

Interfaze Beta

Proprietary

Qwen3.6-27B

Open Weight

Release date

Interfaze Beta

2026-05-11

Qwen3.6-27B

2026-04-21

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: At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
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, Interfaze Beta or Qwen3.6-27B?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Interfaze Beta or Qwen3.6-27B?

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

Which is better for agentic tasks, Interfaze Beta or Qwen3.6-27B?

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

Which costs less, Interfaze Beta or Qwen3.6-27B?

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, Interfaze Beta or Qwen3.6-27B?

Interfaze Beta has the larger documented context window: 1M, compared with 262K.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Interfaze Beta

API / mo$3,750

Self-host / moNot listed

Break-even—

Proprietary model — self-hosting not applicable.

Qwen3.6-27B

API / mo$0

Self-host / mo$429

Break-even—

Model the full break-even

Benchmark evidence

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

Browse raw public benchmark evidence45 rows

Agentic

Terminal-Bench 2.0
Interfaze Beta—
Qwen3.6-27B59.3%
Source
Not directly comparable
Claw-Eval
Interfaze Beta—
Qwen3.6-27B72.4%
Source
Not directly comparable
QwenClawBench
Interfaze Beta—
Qwen3.6-27B53.4%
Source
Not directly comparable
QwenWebBench
Interfaze Beta—
Qwen3.6-27B1487
Source
Not directly comparable
AndroidWorld
Interfaze Beta—
Qwen3.6-27B70.3%
Source
Not directly comparable
Gert Labs
Interfaze Beta—
Qwen3.6-27B54.84%
Source
Not directly comparable

Coding

Spider 2.0-Lite
Interfaze Beta52.9%
Source
Qwen3.6-27B—
Not directly comparable
SWE-bench Verified
Interfaze Beta—
Qwen3.6-27B77.2%
Source
Not directly comparable
SWE Multilingual
Interfaze Beta—
Qwen3.6-27B71.3%
Source
Not directly comparable
SWE-bench Pro
Interfaze Beta—
Qwen3.6-27B53.5%
Source
Not directly comparable
Terminal-Bench 2.0
Interfaze Beta—
Qwen3.6-27B59.3%
Source
Not directly comparable
LiveCodeBench
Interfaze Beta—
Qwen3.6-27B83.9%
Source
Not directly comparable
NL2Repo
Interfaze Beta—
Qwen3.6-27B36.2%
Source
Not directly comparable
SWE-bench (Vals)
Interfaze Beta—
Qwen3.6-27B70.0%
Source
Not directly comparable

Multimodal

OCRBench V2
Interfaze Beta70.7%
Source
Qwen3.6-27B—
Not directly comparable
olmOCR
Interfaze Beta85.7%
Source
Qwen3.6-27B—
Not directly comparable
RefCOCO (avg)
Interfaze Beta82.1%
Source
Qwen3.6-27B92.5%
Source
Qwen3.6-27B leads this result
MMMU-Pro
Interfaze Beta71.1%
Source
Qwen3.6-27B75.8%
Source
Qwen3.6-27B leads this result
MMMU
Interfaze Beta—
Qwen3.6-27B82.9%
Source
Not directly comparable
RealWorldQA
Interfaze Beta—
Qwen3.6-27B84.1%
Source
Not directly comparable
DynaMath
Interfaze Beta—
Qwen3.6-27B85.6%
Source
Not directly comparable
MStar
Interfaze Beta—
Qwen3.6-27B81.4%
Source
Not directly comparable
SimpleVQA
Interfaze Beta—
Qwen3.6-27B56.1%
Source
Not directly comparable
CharXiv
Interfaze Beta—
Qwen3.6-27B78.4%
Source
Not directly comparable
CC-OCR
Interfaze Beta—
Qwen3.6-27B81.2%
Source
Not directly comparable
CountBench
Interfaze Beta—
Qwen3.6-27B97.8%
Source
Not directly comparable
ERQA
Interfaze Beta—
Qwen3.6-27B62.5%
Source
Not directly comparable
Video-MME (with subtitle)
Interfaze Beta—
Qwen3.6-27B87.7%
Source
Not directly comparable
VideoMMMU
Interfaze Beta—
Qwen3.6-27B84.4%
Source
Not directly comparable
MLVU (M-Avg)
Interfaze Beta—
Qwen3.6-27B86.6%
Source
Not directly comparable
V*
Interfaze Beta—
Qwen3.6-27B94.7%
Source
Not directly comparable

Knowledge

GPQA
Interfaze Beta89.9%
Source
Qwen3.6-27B87.8%
Source
Interfaze Beta leads this result
GPQA-D
Interfaze Beta89.9%
Source
Qwen3.6-27B—
Not directly comparable
MMMLU
Interfaze Beta90.9%
Source
Qwen3.6-27B—
Not directly comparable
MMLU-Pro
Interfaze Beta—
Qwen3.6-27B86.2%
Source
Not directly comparable
MMLU-Redux
Interfaze Beta—
Qwen3.6-27B93.5%
Source
Not directly comparable
SuperGPQA
Interfaze Beta—
Qwen3.6-27B66%
Source
Not directly comparable
C-Eval
Interfaze Beta—
Qwen3.6-27B91.4%
Source
Not directly comparable
HLE
Interfaze Beta—
Qwen3.6-27B24%
Source
Not directly comparable

Instruction following

SOB Value Acc
Interfaze Beta79.5%
Source
Qwen3.6-27B—
Not directly comparable

Math

HMMT Feb 2025
Interfaze Beta—
Qwen3.6-27B93.8%
Source
Not directly comparable
HMMT Nov 2025
Interfaze Beta—
Qwen3.6-27B90.7%
Source
Not directly comparable
HMMT Feb 2026
Interfaze Beta—
Qwen3.6-27B84.3%
Source
Not directly comparable
MMAnswerBench
Interfaze Beta—
Qwen3.6-27B80.8%
Source
Not directly comparable
AIME26
Interfaze Beta—
Qwen3.6-27B94.1%
Source
Not directly comparable

45 public results · 3 shared

Related comparisons

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Last updated September 24, 2026

Interfaze Beta vs Qwen3.6-27B

Decision reading

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, Interfaze Beta or Qwen3.6-27B?

Which is better for coding, Interfaze Beta or Qwen3.6-27B?

Which is better for agentic tasks, Interfaze Beta or Qwen3.6-27B?

Which costs less, Interfaze Beta or Qwen3.6-27B?

Which has the larger context window, Interfaze Beta or Qwen3.6-27B?

Self-host vs API cost

Benchmark evidence

Agentic

Coding

Multimodal

Knowledge

Instruction following

Math

Related comparisons

Watch Interfaze Beta vs Qwen3.6-27B