What is the IQ of qwen3.7-plus?

qwen3.7-plus has an estimated IQ of 112, which ranks #71 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.

What is qwen3.7-plus best at?

Among the dimensions with published benchmark results, qwen3.7-plus ranks highest in Academic Reasoning (IQ 126, #69 of 203) and Reliability (IQ 117, #61 of 177). Its lowest-ranked measured dimension is Programmatic Reasoning (IQ 106, #104 of 177).

What is the EQ of qwen3.7-plus?

qwen3.7-plus doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for qwen3.7-plus. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.

Which benchmarks has qwen3.7-plus been tested on?

qwen3.7-plus has published results on 19 of the 39 benchmarks behind AI IQ's Composite IQ, including IFBench, MMMU-Pro, GPQA Diamond, Humanity's Last Exam and AA Omniscience.

How much does qwen3.7-plus cost?

qwen3.7-plus costs $0.40 per million input tokens and $1.60 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $1.44 per million input-plus-output tokens.

Is qwen3.7-plus open source?

No — qwen3.7-plus is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.

Who developed qwen3.7-plus?

qwen3.7-plus was developed by Alibaba, based in China.

When was qwen3.7-plus released?

qwen3.7-plus was publicly released on June 2, 2026.

How large is the context window of qwen3.7-plus?

qwen3.7-plus supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.

How fast is qwen3.7-plus?

In independent measurements, qwen3.7-plus generates about 57 tokens per second, with a typical response time of about 46 seconds.

AlibabaReleased Jun 2, 2026

Proprietary

qwen3.7-plus

Strongest in Academic Reasoning (#69 of 203) and Reliability (#61 of 177); weakest in Programmatic Reasoning (#104 of 177). All seven dimensions are measured.

Composite IQ ?

112

#71 of 176 ranked models · ahead of 60%

Alibaba's #8 model, behind Qwen3.8 Max 0902 (125)

Effective cost

$1.44/1M

$0.40 in · $1.60 out

Speed

57tok/s

46s typical response

Context

1Mtokens

1,000,000 tokens in

Evidence

7of 7 dims

19 of 39 benchmarks

Compare with gpt-6.1-solAPI pricing

IQ profile

Seven dimensions, averaged equally into Composite IQ

Compare shape with

Measured95% range

#1 in dimensionTop-10 median

IQ dimensions

Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.

DimensionIQPosition · 70–160RankEvidencevs Top 10

Abstract ReasoningAbstract

94measured

#84 / 201

2/5

-32.5

Mathematical ReasoningMath

114measured

#78 / 176

1/5

-33

Academic ReasoningAcademic

126measured

#69 / 203

5/6

-9.5

Programmatic ReasoningCoding

106measured

#104 / 177

1/6

-43.5

Computer UseComputer Use

112measured

#83 / 176

2/5

-31

ReliabilityReliability

117measured

#61 / 177

3/6

-17

Knowledge WorkKnowledge Work

113measured

#68 / 176

5/6

-18.5

qwen3.7-plus95% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

19 of 39 Composite IQ benchmarks have a published result for qwen3.7-plus. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 94 · measuredBest: #44 of 76 on Chess Puzzles2/5

BenchmarkScorePercentileRankLeader · source

Chess Puzzles

Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 15

24.0%

#44 / 76

Leader gpt-6-astra · 72.0%
Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 15

Mystery Game Puzzles

Full source leaderboard reconciliation vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 23

17.0%

#45 / 55

Leader gpt-6-astra · 84.0%
Full source leaderboard reconciliation vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 23

Not yet reported

ARC-AGI-3ARC-AGI-2ARC-AGI-1

Mathematical Reasoning IQ 114 · measuredBest: #60 of 84 on FrontierMath Tier 1-31/5

BenchmarkScorePercentileRankLeader · source

FrontierMath Tier 1-3

Full source leaderboard reconciliation · Oct 23

34.4%

#60 / 84

Leader gpt-6-astra · 93.7%
Full source leaderboard reconciliation · Oct 23

Not yet reported

FrontierMath Tier 4ProofBench 1.1MathArenaAIME

Academic Reasoning IQ 126 · measuredBest: #24 of 89 on MMMU-Pro5/6

BenchmarkScorePercentileRankLeader · source

MMMU-Pro

Artificial Analysis v4.3.2 · Oct 27

80.5%

#24 / 89

Leader fable-5.1 · 90.6%
Artificial Analysis v4.3.2 · Oct 27

GPQA Diamond

Artificial Analysis v4.3.2 · Oct 27

90.0%

#47 / 147

Leader gpt-6-astra · 96.1%
Artificial Analysis v4.3.2 · Oct 27

Humanity's Last Exam

Artificial Analysis v4.3.2 · Oct 27

35.6%

#66 / 167

Leader opus-5.5 · 61.4%
Artificial Analysis v4.3.2 · Oct 27

CritPt

Artificial Analysis v4.3.2 · Oct 27

9.1%

#67 / 159

Leader Muse Wonder Full · 32.9%
Artificial Analysis v4.3.2 · Oct 27

SciCode

Artificial Analysis v4.3.2 · Oct 27

46.1%

#86 / 167

Leader opus-5.5 · 66.9%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

MMLU-Pro

Programmatic Reasoning IQ 106 · measuredBest: #61 of 104 on Terminal-Bench 4.01/6

BenchmarkScorePercentileRankLeader · source

Terminal-Bench 4.0

Artificial Analysis v4.3.2 · Oct 27

1.0%

#61 / 104

Leader Kimi K3.1 Pro · 67.2%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

LiveCodeBenchIOI V2ProgramBenchSWE-rebenchMirrorCode

Computer Use IQ 112 · measuredBest: #15 of 24 on OSWorld-Verified2/5

BenchmarkScorePercentileRankLeader · source

OSWorld-Verified

Full source leaderboard reconciliation · Oct 23

73.3%

#15 / 24

Leader fable-5 · 85.0%
Full source leaderboard reconciliation · Oct 23

Arena.ai Agent Arena

Arena.ai Agent Arena · Oct 26

-7.4

#56 / 70

Leader opus-5.5 · 20.9
Arena.ai Agent Arena · Oct 26

Not yet reported

BrowseCompMCP AtlasAgents' Last Exam

Reliability IQ 117 · measuredBest: #11 of 96 on IFBench3/6

BenchmarkScorePercentileRankLeader · source

IFBench

Artificial Analysis v4.3.2 · Oct 27

78.0%

#11 / 96

Leader minimax-m3 · 82.9%
Artificial Analysis v4.3.2 · Oct 27

AA Omniscience

Artificial Analysis v4.3.2 · Oct 27

1.1

#65 / 158

Leader opus-5.5 · 46.4
Artificial Analysis v4.3.2 · Oct 27

AA Long Context Reasoning v1.1

Artificial Analysis v4.3.2 · Oct 27

73.0%

#100 / 154

Leader kimi-k3 · 88.7%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

SimpleQA VerifiedBullshitBench v2FACTS Grounding

Knowledge Work IQ 113 · measuredBest: #51 of 106 on GDP.pdf5/6

BenchmarkScorePercentileRankLeader · source

GDP.pdf

Artificial Analysis v4.3.2 · Oct 27

12.2%

#51 / 106

Leader Muse Wonder Full · 32.6%
Artificial Analysis v4.3.2 · Oct 27

AA-Briefcase v1.1 Elo

Artificial Analysis v4.3.2 · Oct 27

914

#59 / 111

Leader sonnet-5.5 · 1,812
Artificial Analysis v4.3.2 · Oct 27

AutomationBench-AA

Artificial Analysis v4.3.2 · Oct 27

17.4%

#62 / 106

Leader Gemini 4 Argon · 77.5%
Artificial Analysis v4.3.2 · Oct 27

GDPval-AA v2.1 normalized score

Artificial Analysis v4.3.2 · Oct 23

13.2%

#91 / 124

Leader opus-5.5 · 68.3%
Artificial Analysis v4.3.2 · Oct 23

EnterpriseOps-Gym-AA

Full source leaderboard reconciliation v1117-task-strict-2026-09-29 · Oct 27

40.6%

#24 / 31

Leader fable-5 · 51.1%
Full source leaderboard reconciliation v1117-task-strict-2026-09-29 · Oct 27

Not yet reported

AA-AnalystAgent

Release & availability

Release details on record for this model.

Released: Jun 2, 2026
Developer: Alibaba
Weights: ProprietaryHosted access only
Context: 1,000,000 tokens
API price: $0.40 in · $1.60 outper 1M tokens · full pricing

About this score

How much of qwen3.7-plus's IQ is measured, and how the rest is estimated.

19/ 39benchmark results

7/ 7dimensions measured

0estimated

2/5Abstract

1/5Math

5/6Academic

1/6Coding

2/5Computer Use

3/6Reliability

5/6Knowledge Work

Bar height = share of benchmarks with resultsEstimatedNo score

Measured results are shown as published

Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.

How gaps are handled

Every dimension has at least one published result. Missing benchmarks can also draw on its predecessor, Qwen3.6 Plus; a predecessor is an estimation input, not evidence that this model has the predecessor's measured results.

A missing result is not a zero

Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.

Read the scoring methodology →

Compare qwen3.7-plus

Side-by-side pages for the models it is most often weighed against.

#1 overall

gpt-6.1-sol

IQ141 29 higherEffective cost$6.30 4.4× pricier

Predecessor

qwen3.6-plus

IQ110 2 lowerEffective cost$3.74 2.6× pricier

Alibaba #1

Qwen3.8 Max 0902

IQ125 13 higherEffective cost$20.79 14.5× pricier

Closest IQ

Hy4 Preview

IQ112 same IQEffective cost$3.30 2.3× pricier

Most similar profile

grok-4.3

IQ112 same IQEffective cost$1.69 1.2× pricier

Similar price

MiniMax M3.1 Flash

IQ120 8 higherEffective cost$1.42 about the same

qwen3.7-plusComparison model

Compare with any modelBrowse all comparisons →

Frequently asked questions

Quick answers about qwen3.7-plus, drawn from the same data as the rest of this page.

How AI IQ scores models →Get this data from the API →

What is the IQ of qwen3.7-plus?: qwen3.7-plus has an estimated IQ of 112, which ranks #71 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
What is qwen3.7-plus best at?: Among the dimensions with published benchmark results, qwen3.7-plus ranks highest in Academic Reasoning (IQ 126, #69 of 203) and Reliability (IQ 117, #61 of 177). Its lowest-ranked measured dimension is Programmatic Reasoning (IQ 106, #104 of 177).
What is the EQ of qwen3.7-plus?: qwen3.7-plus doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for qwen3.7-plus. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has qwen3.7-plus been tested on?: qwen3.7-plus has published results on 19 of the 39 benchmarks behind AI IQ's Composite IQ, including IFBench, MMMU-Pro, GPQA Diamond, Humanity's Last Exam and AA Omniscience.
How much does qwen3.7-plus cost?: qwen3.7-plus costs $0.40 per million input tokens and $1.60 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $1.44 per million input-plus-output tokens.
Is qwen3.7-plus open source?: No — qwen3.7-plus is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
Who developed qwen3.7-plus?: qwen3.7-plus was developed by Alibaba, based in China.
When was qwen3.7-plus released?: qwen3.7-plus was publicly released on June 2, 2026.
How large is the context window of qwen3.7-plus?: qwen3.7-plus supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.
How fast is qwen3.7-plus?: In independent measurements, qwen3.7-plus generates about 57 tokens per second, with a typical response time of about 46 seconds.