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Model comparison

Inkling vs Qwen3.7 Max

Data verified

Head-to-head evidence from 9 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Inkling
Thinking Machines Lab
69/100
Margin
8.0pts
← winning
60.99/100
0 category wins4 category wins

Verified leaderboard positions: Inkling #17; Qwen3.7 Max #2

BenchAlign evidence: Inkling not scored; Qwen3.7 Max estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Inkling and Qwen3.7 Max share 9 comparable benchmark results. 5 of 8 categories are comparable. 7 results are unique to Inkling; 48 to Qwen3.7 Max.

Updated July 15, 2026
Shared results
9
Inkling only
7
Qwen3.7 Max only
48
Comparable categories
5 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. Inkling only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 4 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.7 Max is clearly ahead on the provisional aggregate, 83 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.7 Max's sharpest advantage is in knowledge, where it averages 64.5 against 51.7. The single biggest benchmark swing on the page is SWE-bench Pro, 54.3% to 60.6%.

Qwen3.7 Max is the reasoning model in the pair, while Inkling is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.

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 Inkling and Qwen3.7 Max
CategoryInklingΔQwen3.7 Max
KnowledgeInkling51.7Margin→ 12.8Qwen3.7 Max64.5
CodingInkling68.6Margin→ 9.3Qwen3.7 Max77.9
Inst. FollowingInkling79.8Margin→ 4.6Qwen3.7 Max84.4
AgenticInkling69.4Margin→ 0.3Qwen3.7 Max69.7
MathInkling97.1MarginTieQwen3.7 Max97.1
ReasoningInklingNot measuredMarginNo overlapQwen3.7 Max90.4
MultilingualInklingNot measuredMarginNo overlapQwen3.7 Max87.0
MultimodalInkling76.5MarginNo overlapQwen3.7 MaxNot measured

Decisive benchmark drivers

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

More
A · InklingB · Qwen3.7 Max

  1. SWE-bench Pro

    Coding
    Source ↗
    A 54.3%B 60.6%
    Winner: Qwen3.7 MaxΔ 6.3
    SWE-bench Pro: Inkling scored 54.3%; Qwen3.7 Max scored 60.6%. Qwen3.7 Max wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 63.8%B 69.7%
    Winner: Qwen3.7 MaxΔ 5.9
    Terminal-Bench 2.0: Inkling scored 63.8%; Qwen3.7 Max scored 69.7%. Qwen3.7 Max wins this benchmark.

  3. HLE

    Knowledge
    Source ↗
    A 46%B 41.4%
    Winner: InklingΔ 4.6
    HLE: Inkling scored 46%; Qwen3.7 Max scored 41.4%. Inkling wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 87.9%B 92.4%
    Winner: Qwen3.7 MaxΔ 4.5
    GPQA: Inkling scored 87.9%; Qwen3.7 Max scored 92.4%. Qwen3.7 Max wins this benchmark.

  5. SWE-bench Verified

    Coding
    Source ↗
    A 77.6%B 80.4%
    Winner: Qwen3.7 MaxΔ 2.8
    SWE-bench Verified: Inkling scored 77.6%; Qwen3.7 Max scored 80.4%. Qwen3.7 Max wins this benchmark.

Operational comparison

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

MetricInklingQwen3.7 MaxComparison
Input / output priceUSD per 1M tokensInkling$1.87 input / $4.68 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondInklingNot availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInklingNot availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensInkling1MQwen3.7 Max1MListed context windows are equal.

Benchmark Deep Dive

AgenticQwen3.7 Max wins
BenchmarkInklingQwen3.7 MaxResult
Terminal-Bench 2.0Source 63.8%69.7%Qwen3.7 Max leads
BrowseCompSource 77.1%—Not comparable
MCP AtlasSource 74.1%76.4%Qwen3.7 Max leads
Design Arena Agentic Web DevSource 1258—Not comparable
QwenClawBenchSource —64.3%Not comparable
QwenWebBenchSource —1568Not comparable
Claw-EvalSource —65.2%Not comparable
BFCL v4Source —75.0%Not comparable
VITA-BenchSource —47.9%Not comparable
HLE w/ toolsSource —53.5%Not comparable
AA Agentic IndexSource —30.6%Not comparable
τ²-bench resultsSource —94.7%Not comparable
GDPval-AASource —38.7%Not comparable
GDPval-AASource —1273Not comparable
Gert LabsSource —64.27%Not comparable
ResearchClawBenchSource —18.7%Not comparable
AA BriefcaseSource —908Not comparable
AA AutomationBenchSource —25.6%Not comparable
AA EnterpriseOps-GymSource —45.0%Not comparable
AA ITBenchSource —42.5%Not comparable
CodingQwen3.7 Max wins
BenchmarkInklingQwen3.7 MaxResult
SWE-bench VerifiedSource 77.6%80.4%Qwen3.7 Max leads
SWE-bench ProSource 54.3%60.6%Qwen3.7 Max leads
Terminal-Bench 2.0Source 63.8%69.7%Qwen3.7 Max leads
SWE MultilingualSource —78.3%Not comparable
NL2RepoSource —47.2%Not comparable
SciCodeSource —53.5%Not comparable
LiveCodeBenchSource —91.6%Not comparable
AA Coding IndexSource —66.0%Not comparable
Terminal-Bench HardSource —50.8%Not comparable
AA-SciCodeSource —48.8%Not comparable
AA Terminal-Bench 2.1Source —74.5%Not comparable
Reasoning
BenchmarkInklingQwen3.7 MaxResult
MRCRv2Source —90.4%Not comparable
CritPtSource —13.4%Not comparable
AA-LCRSource —69.0%Not comparable
KnowledgeQwen3.7 Max wins
BenchmarkInklingQwen3.7 MaxResult
GPQASource 87.9%92.4%Qwen3.7 Max leads
GPQA-DSource 87.9%92.4%Qwen3.7 Max leads
HLESource 46%41.4%Inkling leads
HLE w/o toolsSource 30%—Not comparable
MMLU-ProSource —89.6%Not comparable
MMLU-ReduxSource —95%Not comparable
SuperGPQASource —73.6%Not comparable
MMMLUSource —90.3%Not comparable
Artificial Analysis Intelligence IndexSource —46.0%Not comparable
AA-GPQA DiamondSource —92.3%Not comparable
AA-HLESource —38.1%Not comparable
AA-Omniscience IndexSource —14.1%Not comparable
AA-Omniscience AccuracySource —30.1%Not comparable
AA-Omniscience Hallucination RateSource —22.9%Not comparable
MathTie
BenchmarkInklingQwen3.7 MaxResult
AIME26Source 97.1%—Not comparable
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkInklingQwen3.7 MaxResult
MMLU-ProXSource —87%Not comparable
NOVA-63Source —59.0%Not comparable
INCLUDESource —86.2%Not comparable
MAXIFESource —89.2%Not comparable
PolyMathSource —86.5%Not comparable
Multimodal
BenchmarkInklingQwen3.7 MaxResult
MMMU-ProSource 73.5%—Not comparable
CharXivSource 82%—Not comparable
CharXiv w/o toolsSource 78.1%—Not comparable
Design Arena WebsiteSource —1296Not comparable
Inst. FollowingQwen3.7 Max wins
BenchmarkInklingQwen3.7 MaxResult
IFBenchSource 79.8%79.1%Inkling leads
IFEvalSource —94.3%Not comparable
AA-IFBenchSource —80.5%Not comparable
Frequently Asked Questions (6)

Which is better, Inkling or Qwen3.7 Max?

Qwen3.7 Max is ahead on BenchLM's provisional leaderboard, 83 to 69. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 54.3% and 60.6%.

Which is better for knowledge tasks, Inkling or Qwen3.7 Max?

Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.5 versus 51.7. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, Inkling or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 68.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

Which is better for math, Inkling or Qwen3.7 Max?

Inkling and Qwen3.7 Max are effectively tied for math here, both landing at 97.1 on average.

Which is better for agentic tasks, Inkling or Qwen3.7 Max?

Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 69.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for instruction following, Inkling or Qwen3.7 Max?

Qwen3.7 Max has the edge for instruction following in this comparison, averaging 84.4 versus 79.8. Inside this category, IFBench is the benchmark that creates the most daylight between them.

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Last updated: July 15, 2026

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