Skip to main content
BenchLM
Advertise

Model comparison

Interfaze Beta vs Qwen3.7 Plus

Data verified

Head-to-head evidence from 5 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

N/A
No comparison
67.22/100
1 category wins1 category wins

Public leaderboard positions: Interfaze Beta unranked (Not scored); Qwen3.7 Plus #21 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Interfaze Beta and Qwen3.7 Plus share 5 comparable benchmark results. 2 of 8 categories are comparable. 5 results are unique to Interfaze Beta; 64 to Qwen3.7 Plus.

Updated July 23, 2026
Shared results
5
Interfaze Beta only
5
Qwen3.7 Plus only
64
Comparable categories
2 / 8

Treat this as a split decision. Interfaze Beta makes more sense if knowledge is the priority; Qwen3.7 Plus is the better fit if multimodal & grounded is the priority.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Interfaze Beta and Qwen3.7 Plus finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Interfaze Beta and Qwen3.7 Plus
CategoryInterfaze BetaΔQwen3.7 Plus
KnowledgeInterfaze Beta89.9Margin← 29.8Qwen3.7 Plus60.1
MultimodalInterfaze Beta71.1Margin→ 10.4Qwen3.7 Plus81.5
AgenticInterfaze BetaNot measuredMarginNo overlapQwen3.7 Plus71.7
CodingInterfaze BetaNot measuredMarginNo overlapQwen3.7 Plus75.6
ReasoningInterfaze BetaNot measuredMarginNo overlapQwen3.7 Plus91.7
MathInterfaze BetaNot measuredMarginNo overlapQwen3.7 Plus92.9
MultilingualInterfaze BetaNot measuredMarginNo overlapQwen3.7 Plus85.4
Inst. FollowingInterfaze BetaNot measuredMarginNo overlapQwen3.7 Plus84.5

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Interfaze BetaB · Qwen3.7 Plus

  1. MMMU-Pro

    Multimodal
    Source ↗
    A 71.1%B 79%
    Winner: Qwen3.7 PlusΔ 7.9
    MMMU-Pro: Interfaze Beta scored 71.1%; Qwen3.7 Plus scored 79%. Qwen3.7 Plus wins this benchmark.

  2. GPQA

    Knowledge
    Source ↗
    A 89.9%B 90.3%
    Winner: Qwen3.7 PlusΔ 0.4
    GPQA: Interfaze Beta scored 89.9%; Qwen3.7 Plus scored 90.3%. Qwen3.7 Plus wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricInterfaze BetaQwen3.7 PlusComparison
Input / output priceUSD per 1M tokensInterfaze Beta$1.5 input / $3.5 outputQwen3.7 PlusNot availableA complete price comparison is not available.
Generation speedtokens per secondInterfaze BetaNot availableQwen3.7 PlusNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInterfaze BetaNot availableQwen3.7 PlusNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensInterfaze Beta1MQwen3.7 Plus1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkInterfaze BetaQwen3.7 PlusResult
Terminal-Bench 2.0Source —70.3%Not comparable
QwenClawBenchSource —61.8%Not comparable
QwenWebBenchSource —1536Not comparable
Claw-EvalSource —62.7%Not comparable
BFCL v4Source —72.9%Not comparable
MCP AtlasSource —73.2%Not comparable
VITA-BenchSource —45.6%Not comparable
DeepPlanningSource —62.3%Not comparable
OSWorld-VerifiedSource —73.3%Not comparable
AndroidWorldSource —81.0%Not comparable
AA Agentic IndexSource —20.8%Not comparable
APEX-Agents-AASource —22.4%Not comparable
τ²-bench resultsSource —93%Not comparable
GDPval-AASource —21.8%Not comparable
GDPval-AASource —936Not comparable
OSWorld 2.0Source —2.8%Not comparable
Coding
BenchmarkInterfaze BetaQwen3.7 PlusResult
Spider 2.0-LiteSource 52.9%—Not comparable
Terminal-Bench 2.0Source —70.3%Not comparable
SWE-bench VerifiedSource —77.7%Not comparable
SWE-bench ProSource —57.6%Not comparable
SWE MultilingualSource —75.8%Not comparable
NL2RepoSource —41.1%Not comparable
SciCodeSource —51.3%Not comparable
LiveCodeBenchSource —89.6%Not comparable
AA Coding IndexSource —55.9%Not comparable
AA-SciCodeSource —45.5%Not comparable
Reasoning
BenchmarkInterfaze BetaQwen3.7 PlusResult
CritPtSource —9.1%Not comparable
MRCRv2Source —91.7%Not comparable
AA-LCRSource —65.0%Not comparable
KnowledgeInterfaze Beta wins
BenchmarkInterfaze BetaQwen3.7 PlusResult
GPQASource 89.9%90.3%Qwen3.7 Plus leads
GPQA-DSource 89.9%90.3%Qwen3.7 Plus leads
MMMLUSource 90.9%89.0%Interfaze Beta leads
HLESource —34.7%Not comparable
MMLU-ProSource —88.5%Not comparable
MMLU-ReduxSource —94.5%Not comparable
SuperGPQASource —71.4%Not comparable
Artificial Analysis Intelligence IndexSource —39.0%Not comparable
AA-GPQA DiamondSource —90.0%Not comparable
AA-HLESource —33.4%Not comparable
AA-Omniscience IndexSource —2.4%Not comparable
AA-Omniscience AccuracySource —22.2%Not comparable
AA-Omniscience Hallucination RateSource —25.5%Not comparable
Math
BenchmarkInterfaze BetaQwen3.7 PlusResult
HMMT Feb 2026Source —92.9%Not comparable
IMOAnswerBenchSource —86.0%Not comparable
ApexSource —22.7%Not comparable
Multilingual
BenchmarkInterfaze BetaQwen3.7 PlusResult
MMLU-ProXSource —85.4%Not comparable
NOVA-63Source —58.8%Not comparable
INCLUDESource —83.0%Not comparable
MAXIFESource —88.8%Not comparable
PolyMathSource —84.0%Not comparable
MultimodalQwen3.7 Plus wins
BenchmarkInterfaze BetaQwen3.7 PlusResult
OCRBench V2Source 70.7%70.7%Tie
olmOCRSource 85.7%—Not comparable
RefCOCO (avg)Source 82.1%—Not comparable
VoxPopuli WERSource 2.4%—Not comparable
MMMU-ProSource 71.1%79%Qwen3.7 Plus leads
MathVisionSource —90.3%Not comparable
CharXivSource —85.9%Not comparable
ERQASource —69.8%Not comparable
MedXpertQA (MM)Source —71.0%Not comparable
ScreenSpot ProSource —79.0%Not comparable
SimpleVQASource —81.7%Not comparable
MMSearch-PlusSource —41.4%Not comparable
RealWorldQASource —86.9%Not comparable
OmniDocBench 1.5Source —91.4%Not comparable
ODINW13Source —51.1%Not comparable
Video-MME (with subtitle)Source —88.0%Not comparable
VideoMMMUSource —85.4%Not comparable
MLVU (M-Avg)Source —87.4%Not comparable
AA-MMMU-ProSource —80.5%Not comparable
Design Arena WebsiteSource —1288Not comparable
Inst. Following
BenchmarkInterfaze BetaQwen3.7 PlusResult
SOB Value AccSource 79.5%—Not comparable
IFEvalSource —94.6%Not comparable
IFBenchSource —79.1%Not comparable
AA-IFBenchSource —78.0%Not comparable
Frequently Asked Questions (3)

Which is better, Interfaze Beta or Qwen3.7 Plus?

Interfaze Beta and Qwen3.7 Plus are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, Interfaze Beta or Qwen3.7 Plus?

Interfaze Beta has the edge for knowledge tasks in this comparison, averaging 89.9 versus 60.1. Inside this category, MMMLU is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Interfaze Beta or Qwen3.7 Plus?

Qwen3.7 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 81.5 versus 71.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.

Related Comparisons

Explore More

Interfaze Compare Pricing Methodology Find Your Best LLM Overall Rankings
Last updated: July 23, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.