Knowledge
Directional only- Interfaze Beta
- 89.9
- Qwen3.6 Plus
- 57.1
- Weighted basis
- 1 vs 4 rows
- Reading
- Directional only
Model comparison
Interfaze Beta vs Qwen3.6 Plus
Updated August 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
2 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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.
7 Interfaze Beta only
2 Shared
41 Qwen3.6 Plus only
- Shared results
- 2
- Interfaze Beta only
- 7
- Qwen3.6 Plus only
- 41
- Like-for-like categories
- 0 / 8
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Multimodal
Directional only- Interfaze Beta
- 71.1
- Qwen3.6 Plus
- 79.8
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Agentic
Not comparable- Interfaze Beta
- Not measured
- Qwen3.6 Plus
- 61.6
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Coding
Not comparable- Interfaze Beta
- Not measured
- Qwen3.6 Plus
- 70.3
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Reasoning
Not comparable- Interfaze Beta
- Not measured
- Qwen3.6 Plus
- 62.0
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Math
Not comparable- Interfaze Beta
- Not measured
- Qwen3.6 Plus
- 60.5
- Weighted basis
- 0 vs 4 rows
- Reading
- Not comparable
Multilingual
Not comparable- Interfaze Beta
- Not measured
- Qwen3.6 Plus
- 84.7
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Instruction following
Not comparable- Interfaze Beta
- Not measured
- Qwen3.6 Plus
- 82.3
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
| Category | Interfaze Beta | Qwen3.6 Plus | Weighted basis | Reading |
|---|---|---|---|---|
| Knowledge | 89.9 | 57.1 | Directional only1 vs 4 rows | Directional only |
| Multimodal | 71.1 | 79.8 | Directional only1 vs 2 rows | Directional only |
| Agentic | Not measured | 61.6 | Not comparable0 vs 1 rows | Not comparable |
| Coding | Not measured | 70.3 | Not comparable0 vs 2 rows | Not comparable |
| Reasoning | Not measured | 62.0 | Not comparable0 vs 1 rows | Not comparable |
| Math | Not measured | 60.5 | Not comparable0 vs 4 rows | Not comparable |
| Multilingual | Not measured | 84.7 | Not comparable0 vs 1 rows | Not comparable |
| Instruction following | Not measured | 82.3 | Not comparable0 vs 2 rows | Not comparable |
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-Pro
Multimodal
GPQA
Knowledge
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 Plus
- API rate not published
- Fits in one request
Qwen3.6 Plus 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 Plus
- API rate not published
- Fits in one request
Qwen3.6 Plus 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 Plus
- API rate not published
- 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 Plus 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.
SpecificationInterfaze BetaQwen3.6 Plus
Context window
Maximum documented context; output-token limits may be lower.
Interfaze Beta
1M
Qwen3.6 Plus
1M
API model ID
Interfaze Beta
Not sourced
Qwen3.6 Plus
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 Plus
No comparable hosted API rate
Documented inputs
Interfaze Beta
Not sourced
Qwen3.6 Plus
Not sourced
Documented outputs
Interfaze Beta
Not sourced
Qwen3.6 Plus
Not sourced
Provider availability
Interfaze Beta
Not sourced
Qwen3.6 Plus
Not sourced
Reasoning profile
Interfaze Beta
Reasoning
Qwen3.6 Plus
Reasoning
Weight access
Interfaze Beta
Proprietary
Qwen3.6 Plus
Proprietary
License
Interfaze Beta
Proprietary
Qwen3.6 Plus
Proprietary
Release date
Interfaze Beta
2026-05-11
Qwen3.6 Plus
2026-04-02
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
- Both models list 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 evidence50 rows
Agentic
Terminal-Bench 2.0
Interfaze Beta—Qwen3.6 Plus61.6%SourceNot directly comparable
Claw-Eval
Interfaze Beta—Qwen3.6 Plus58.8%SourceNot directly comparable
QwenClawBench
Interfaze Beta—Qwen3.6 Plus57.2%SourceNot directly comparable
τ³-bench results
Interfaze Beta—Qwen3.6 Plus70.7%SourceNot directly comparable
VITA-Bench
Interfaze Beta—Qwen3.6 Plus44.3%SourceNot directly comparable
DeepPlanning
Interfaze Beta—Qwen3.6 Plus41.5%SourceNot directly comparable
Toolathlon
Interfaze Beta—Qwen3.6 Plus39.8%SourceNot directly comparable
MCP Atlas
Interfaze Beta—Qwen3.6 Plus48.2%SourceNot directly comparable
MCP-Tasks
Interfaze Beta—Qwen3.6 Plus74.1%SourceNot directly comparable
WideResearch
Interfaze Beta—Qwen3.6 Plus74.3%SourceNot directly comparable
Gert Labs
Interfaze Beta—Qwen3.6 Plus50.60%SourceNot directly comparable
ResearchClawBench
Interfaze Beta—Qwen3.6 Plus18.0%SourceNot directly comparable
Coding
Spider 2.0-Lite
Interfaze Beta52.9%SourceQwen3.6 Plus—Not directly comparable
SWE-bench Verified
Interfaze Beta—Qwen3.6 Plus78.8%SourceNot directly comparable
SWE-bench Pro
Interfaze Beta—Qwen3.6 Plus56.6%SourceNot directly comparable
SWE Multilingual
Interfaze Beta—Qwen3.6 Plus73.8%SourceNot directly comparable
LiveCodeBench v6
Interfaze Beta—Qwen3.6 Plus87.1%SourceNot directly comparable
Vibe Code Bench
Interfaze Beta—Qwen3.6 Plus25.56%SourceNot directly comparable
Reasoning
Knowledge
GPQA
Interfaze Beta89.9%SourceQwen3.6 Plus90.4%SourceQwen3.6 Plus leads this result
GPQA-D
Interfaze Beta89.9%SourceQwen3.6 Plus—Not directly comparable
MMMLU
Interfaze Beta90.9%SourceQwen3.6 Plus—Not directly comparable
SuperGPQA
Interfaze Beta—Qwen3.6 Plus71.6%SourceNot directly comparable
MMLU-Pro
Interfaze Beta—Qwen3.6 Plus88.5%SourceNot directly comparable
MMLU-Redux
Interfaze Beta—Qwen3.6 Plus94.5%SourceNot directly comparable
C-Eval
Interfaze Beta—Qwen3.6 Plus93.3%SourceNot directly comparable
HLE
Interfaze Beta—Qwen3.6 Plus28.8%SourceNot directly comparable
Math
AIME26
Interfaze Beta—Qwen3.6 Plus95.3%SourceNot directly comparable
HMMT Feb 2025
Interfaze Beta—Qwen3.6 Plus96.7%SourceNot directly comparable
HMMT Nov 2025
Interfaze Beta—Qwen3.6 Plus94.6%SourceNot directly comparable
HMMT Feb 2026
Interfaze Beta—Qwen3.6 Plus87.8%SourceNot directly comparable
MMAnswerBench
Interfaze Beta—Qwen3.6 Plus83.8%SourceNot directly comparable
FrontierMath v2 (Tiers 1-3)
Interfaze Beta—Qwen3.6 Plus26.207%SourceNot directly comparable
FrontierMath v2 (Tier 4)
Interfaze Beta—Qwen3.6 Plus8.333%SourceNot directly comparable
Multilingual
Multimodal
OCRBench V2
Interfaze Beta70.7%SourceQwen3.6 Plus—Not directly comparable
olmOCR
Interfaze Beta85.7%SourceQwen3.6 Plus—Not directly comparable
RefCOCO (avg)
Interfaze Beta82.1%SourceQwen3.6 Plus—Not directly comparable
MMMU-Pro
Interfaze Beta71.1%SourceQwen3.6 Plus78.8%SourceQwen3.6 Plus leads this result
MMMU
Interfaze Beta—Qwen3.6 Plus86.0%SourceNot directly comparable
MathVision
Interfaze Beta—Qwen3.6 Plus88.0%SourceNot directly comparable
VideoMMMU
Interfaze Beta—Qwen3.6 Plus84.0%SourceNot directly comparable
ScreenSpot Pro
Interfaze Beta—Qwen3.6 Plus68.2%SourceNot directly comparable
CharXiv
Interfaze Beta—Qwen3.6 Plus81.5%SourceNot directly comparable
V*
Interfaze Beta—Qwen3.6 Plus96.9%SourceNot directly comparable
Instruction following
Frequently asked questions
Which is better, Interfaze Beta or Qwen3.6 Plus?
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 Plus?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, Interfaze Beta or Qwen3.6 Plus?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, Interfaze Beta or Qwen3.6 Plus?
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 Plus?
Both models list the same context window, 1M.
Related comparisons
Last updated August 10, 2026
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