Model comparison

Interfaze Beta vs Qwen3.8 Max

Updated August 3, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Interfaze Beta

Interfaze

—

Evidence status unavailable

90% interval unavailable

Qwen3.8 Max

Alibaba

65.4/100

Estimated · Public rank #31

90% interval 55.5–75.3

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

4 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.

5 Interfaze Beta only

4 Shared

48 Qwen3.8 Max only

Shared results: 4
Interfaze Beta only: 5
Qwen3.8 Max only: 48
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.

Knowledge

Directional only

Interfaze Beta: 89.9
Qwen3.8 Max: 50.2
Weighted basis: 1 vs 2 rows
Reading: Directional only

Multimodal

Directional only

Interfaze Beta: 71.1
Qwen3.8 Max: 86.3
Weighted basis: 1 vs 2 rows
Reading: Directional only

Agentic

Not comparable

Interfaze Beta: Not measured
Qwen3.8 Max: 86.1
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Coding

Not comparable

Interfaze Beta: Not measured
Qwen3.8 Max: 67.7
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Reasoning

Not comparable

Interfaze Beta: Not measured
Qwen3.8 Max: 78.3
Weighted basis: 0 vs 2 rows
Reading: Not comparable

Math

Not comparable

Interfaze Beta: Not measured
Qwen3.8 Max: Not measured
Weighted basis: 0 vs 0 rows
Reading: Not comparable

Multilingual

Not comparable

Interfaze Beta: Not measured
Qwen3.8 Max: Not measured
Weighted basis: 0 vs 0 rows
Reading: Not comparable

Instruction following

Not comparable

Interfaze Beta: Not measured
Qwen3.8 Max: 82.8
Weighted basis: 0 vs 1 rows
Reading: Not comparable

Category averages with the server-provided evidence basis for Interfaze Beta and Qwen3.8 Max
Category	Interfaze Beta	Qwen3.8 Max	Weighted basis	Reading
Knowledge	89.9	50.2	Directional only1 vs 2 rows	Directional only
Multimodal	71.1	86.3	Directional only1 vs 2 rows	Directional only
Agentic	Not measured	86.1	Not comparable0 vs 1 rows	Not comparable
Coding	Not measured	67.7	Not comparable0 vs 1 rows	Not comparable
Reasoning	Not measured	78.3	Not comparable0 vs 2 rows	Not comparable
Math	Not measured	Not measured	Not comparable0 vs 0 rows	Not comparable
Multilingual	Not measured	Not measured	Not comparable0 vs 0 rows	Not comparable
Instruction following	Not measured	82.8	Not comparable0 vs 1 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
Interfaze Beta: 71.1%Qwen3.8 Max: 82.3%Normalized gap 11.2Interfaze Beta source Qwen3.8 Max source
GPQA
Knowledge
Interfaze Beta: 89.9%Qwen3.8 Max: 92.6%Normalized gap 2.7Interfaze Beta source Qwen3.8 Max source

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
Qwen3.8 Max: API rate not published; Fits in one request

Qwen3.8 Max has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Interfaze Beta: $0.0855; Fits in one request
Qwen3.8 Max: API rate not published; Fits in one request

Qwen3.8 Max 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
Qwen3.8 Max: 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. Qwen3.8 Max 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 BetaQwen3.8 Max

Context window

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

Interfaze Beta

Qwen3.8 Max

Alibaba Cloud Model Studio pricing

API model ID

Interfaze Beta

Not sourced

Qwen3.8 Max

qwen3.8-max

Alibaba Cloud Model Studio pricing

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

Qwen3.8 Max

No comparable hosted API rate

Alibaba Cloud Model Studio pricing

Documented inputs

Interfaze Beta

Not sourced

Qwen3.8 Max

Not sourced

Documented outputs

Interfaze Beta

Not sourced

Qwen3.8 Max

Not sourced

Provider availability

Interfaze Beta

Not sourced

Qwen3.8 Max

Not sourced

Reasoning profile

Interfaze Beta

Reasoning

Qwen3.8 Max

Reasoning

Weight access

Interfaze Beta

Proprietary

Qwen3.8 Max

Proprietary

License

Interfaze Beta

Proprietary

Qwen3.8 Max

Proprietary

Release date

Interfaze Beta

2026-05-11

Qwen3.8 Max

2026-08-03

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 evidence57 rows

Agentic

Terminal-Bench 2.1
Interfaze Beta—
Qwen3.8 Max86.6%
Source
Not directly comparable
CoWorkBench
Interfaze Beta—
Qwen3.8 Max74.8%
Source
Not directly comparable
JobBench
Interfaze Beta—
Qwen3.8 Max53.4%
Source
Not directly comparable
skillsBench
Interfaze Beta—
Qwen3.8 Max70.2%
Source
Not directly comparable
Agents' Last Exam
Interfaze Beta—
Qwen3.8 Max52.4%
Source
Not directly comparable
AutomationBench
Interfaze Beta—
Qwen3.8 Max27.3%
Source
Not directly comparable
Toolathlon-Verified
Interfaze Beta—
Qwen3.8 Max72.5%
Source
Not directly comparable
WideResearch
Interfaze Beta—
Qwen3.8 Max81.9%
Source
Not directly comparable
HLE w/ tools
Interfaze Beta—
Qwen3.8 Max56.2%
Source
Not directly comparable
OSWorld-Verified
Interfaze Beta—
Qwen3.8 Max86.1%
Source
Not directly comparable
OSWorld 2.0
Interfaze Beta—
Qwen3.8 Max19.4%
Source
Not directly comparable
WebArena-Verified
Interfaze Beta—
Qwen3.8 Max66.8%
Source
Not directly comparable
AndroidWorld
Interfaze Beta—
Qwen3.8 Max85.3%
Source
Not directly comparable
MobileWorld
Interfaze Beta—
Qwen3.8 Max77.8%
Source
Not directly comparable

Coding

Spider 2.0-Lite
Interfaze Beta52.9%
Source
Qwen3.8 Max—
Not directly comparable
Terminal-Bench 2.1
Interfaze Beta—
Qwen3.8 Max86.6%
Source
Not directly comparable
SWE-bench Pro
Interfaze Beta—
Qwen3.8 Max67.7%
Source
Not directly comparable
deepSwe
Interfaze Beta—
Qwen3.8 Max56.6%
Source
Not directly comparable
NL2Repo
Interfaze Beta—
Qwen3.8 Max55.9%
Source
Not directly comparable
FrontierSWE
Interfaze Beta—
Qwen3.8 Max73.5%
Source
Not directly comparable
MLS-Bench Lite
Interfaze Beta—
Qwen3.8 Max41.0%
Source
Not directly comparable
PaperBench
Interfaze Beta—
Qwen3.8 Max93.0%
Source
Not directly comparable

Reasoning

MRCRv2
Interfaze Beta—
Qwen3.8 Max92.9%
Source
Not directly comparable
LongBench v2
Interfaze Beta—
Qwen3.8 Max66.3%
Source
Not directly comparable

Knowledge

GPQA
Interfaze Beta89.9%
Source
Qwen3.8 Max92.6%
Source
Qwen3.8 Max leads this result
GPQA-D
Interfaze Beta89.9%
Source
Qwen3.8 Max92.6%
Source
Qwen3.8 Max leads this result
MMMLU
Interfaze Beta90.9%
Source
Qwen3.8 Max—
Not directly comparable
HLE
Interfaze Beta—
Qwen3.8 Max43.6%
Source
Not directly comparable
HLE w/o tools
Interfaze Beta—
Qwen3.8 Max43.6%
Source
Not directly comparable

Multimodal

OCRBench V2
Interfaze Beta70.7%
Source
Qwen3.8 Max74.2%
Source
Qwen3.8 Max leads this result
olmOCR
Interfaze Beta85.7%
Source
Qwen3.8 Max—
Not directly comparable
RefCOCO (avg)
Interfaze Beta82.1%
Source
Qwen3.8 Max—
Not directly comparable
MMMU-Pro
Interfaze Beta71.1%
Source
Qwen3.8 Max82.3%
Source
Qwen3.8 Max leads this result
MathVision
Interfaze Beta—
Qwen3.8 Max95.2%
Source
Not directly comparable
MathVision w/ Python
Interfaze Beta—
Qwen3.8 Max97.7%
Source
Not directly comparable
BabyVision
Interfaze Beta—
Qwen3.8 Max82.0%
Source
Not directly comparable
BabyVision w/ Python
Interfaze Beta—
Qwen3.8 Max91.3%
Source
Not directly comparable
ZeroBench
Interfaze Beta—
Qwen3.8 Max24.0%
Source
Not directly comparable
ZeroBench w/ Python
Interfaze Beta—
Qwen3.8 Max49.0%
Source
Not directly comparable
MedXpertQA (MM)
Interfaze Beta—
Qwen3.8 Max80.4%
Source
Not directly comparable
ScreenSpot Pro
Interfaze Beta—
Qwen3.8 Max84.5%
Source
Not directly comparable
Vision2Web
Interfaze Beta—
Qwen3.8 Max69.0%
Source
Not directly comparable
CharXiv w/o tools
Interfaze Beta—
Qwen3.8 Max88.4%
Source
Not directly comparable
CharXiv
Interfaze Beta—
Qwen3.8 Max93.5%
Source
Not directly comparable
OmniDocBench 1.5
Interfaze Beta—
Qwen3.8 Max92.1%
Source
Not directly comparable
CC-OCR
Interfaze Beta—
Qwen3.8 Max79.6%
Source
Not directly comparable
RealWorldQA
Interfaze Beta—
Qwen3.8 Max88.0%
Source
Not directly comparable
ERQA
Interfaze Beta—
Qwen3.8 Max77.8%
Source
Not directly comparable
SimpleVQA
Interfaze Beta—
Qwen3.8 Max75.0%
Source
Not directly comparable
PerceptionBench
Interfaze Beta—
Qwen3.8 Max63.5%
Source
Not directly comparable
Video-MME (with subtitle)
Interfaze Beta—
Qwen3.8 Max90.4%
Source
Not directly comparable
VideoMMMU
Interfaze Beta—
Qwen3.8 Max88.7%
Source
Not directly comparable
MMVU
Interfaze Beta—
Qwen3.8 Max82.4%
Source
Not directly comparable
MLVU (M-Avg)
Interfaze Beta—
Qwen3.8 Max90.8%
Source
Not directly comparable
LVBench
Interfaze Beta—
Qwen3.8 Max81.8%
Source
Not directly comparable

Instruction following

SOB Value Acc
Interfaze Beta79.5%
Source
Qwen3.8 Max—
Not directly comparable
IFBench
Interfaze Beta—
Qwen3.8 Max82.8%
Source
Not directly comparable

Frequently asked questions

Which is better, Interfaze Beta or Qwen3.8 Max?

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 Qwen3.8 Max?

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 Qwen3.8 Max?

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 Qwen3.8 Max?

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 Qwen3.8 Max?

Both models list the same context window, 1M.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 3, 2026

Watch Interfaze Beta vs Qwen3.8 Max

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 2,000+ readers.

Interfaze Beta vs Qwen3.8 Max

Which one for your work

Coding work

Agentic work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

What is actually comparable

Category results, on a stated basis

Knowledge

Multimodal

Agentic

Coding

Reasoning

Math

Multilingual

Instruction following

Shape of the matched evidence

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

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Multimodal

Instruction following

Frequently asked questions

Which is better, Interfaze Beta or Qwen3.8 Max?

Which is better for coding, Interfaze Beta or Qwen3.8 Max?

Which is better for agentic tasks, Interfaze Beta or Qwen3.8 Max?

Which costs less, Interfaze Beta or Qwen3.8 Max?

Which has the larger context window, Interfaze Beta or Qwen3.8 Max?

Related comparisons

Watch Interfaze Beta vs Qwen3.8 Max