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Model comparison

Grok 4.3 vs Qwen3.7 Max

Data verified

Head-to-head evidence from 22 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

65.1/100
Margin
7.7pts
winning →
72.84/100
0 category wins3 category wins

Public leaderboard positions: Grok 4.3 #31 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Grok 4.3 and Qwen3.7 Max share 22 comparable benchmark results. 3 of 8 categories are comparable. 3 results are unique to Grok 4.3; 36 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
22
Grok 4.3 only
3
Qwen3.7 Max only
36
Comparable categories
3 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. Grok 4.3 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 6 evidence categories; 3 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 BenchAlign aggregate, 72.84 to 65.1. 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 coding, where it averages 77.9 against 47.3. The single biggest benchmark swing on the page is HLE, 35% to 41.4%.

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 Grok 4.3 and Qwen3.7 Max
CategoryGrok 4.3ΔQwen3.7 Max
CodingGrok 4.347.3Margin→ 30.6Qwen3.7 Max77.9
KnowledgeGrok 4.342.4Margin→ 21.8Qwen3.7 Max64.2
Inst. FollowingGrok 4.381.3Margin→ 3.1Qwen3.7 Max84.4
AgenticGrok 4.3Not measuredMarginNo overlapQwen3.7 Max69.7
ReasoningGrok 4.3Not measuredMarginNo overlapQwen3.7 Max90.4
MathGrok 4.3Not measuredMarginNo overlapQwen3.7 Max97.1
MultilingualGrok 4.3Not measuredMarginNo overlapQwen3.7 Max87.0
MultimodalGrok 4.378.1MarginNo overlapQwen3.7 MaxNot measured

Decisive benchmark drivers

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

More
A · Grok 4.3B · Qwen3.7 Max

  1. HLE

    Knowledge
    Source ↗
    A 35%B 41.4%
    Winner: Qwen3.7 MaxΔ 6.4
    HLE: Grok 4.3 scored 35%; Qwen3.7 Max scored 41.4%. Qwen3.7 Max wins this benchmark.

  2. SciCode

    Coding
    Source ↗
    A 47.3%B 53.5%
    Winner: Qwen3.7 MaxΔ 6.2
    SciCode: Grok 4.3 scored 47.3%; Qwen3.7 Max scored 53.5%. Qwen3.7 Max wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 90.1%B 92.4%
    Winner: Qwen3.7 MaxΔ 2.3
    GPQA: Grok 4.3 scored 90.1%; Qwen3.7 Max scored 92.4%. Qwen3.7 Max wins this benchmark.

  4. IFBench

    Inst. Following
    Source ↗
    A 81.3%B 79.1%
    Winner: Grok 4.3Δ 2.2
    IFBench: Grok 4.3 scored 81.3%; Qwen3.7 Max scored 79.1%. Grok 4.3 wins this benchmark.

Operational comparison

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

MetricGrok 4.3Qwen3.7 MaxComparison
Input / output priceUSD per 1M tokensGrok 4.3$1.25 input / $2.5 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGrok 4.3209 tok/sQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGrok 4.312.36 sQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGrok 4.31MQwen3.7 Max1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGrok 4.3Qwen3.7 MaxResult
τ²-bench resultsSource 97.7%94.7%Grok 4.3 leads
GDPval-AASource 29.2%38.7%Qwen3.7 Max leads
AA Agentic IndexSource 24.1%30.6%Qwen3.7 Max leads
APEX-Agents-AASource 17.0%—Not comparable
GDPval-AASource 10851273Qwen3.7 Max leads
Gert LabsSource 43.86%64.27%Qwen3.7 Max leads
ResearchClawBenchSource 12.4%18.7%Qwen3.7 Max leads
Terminal-Bench 2.0Source —69.7%Not comparable
QwenClawBenchSource —64.3%Not comparable
QwenWebBenchSource —1568Not comparable
Claw-EvalSource —65.2%Not comparable
BFCL v4Source —75.0%Not comparable
MCP AtlasSource —76.4%Not comparable
VITA-BenchSource —47.9%Not comparable
HLE w/ toolsSource —53.5%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
terminalBenchHardSource —50.8%Not comparable
aaTerminalBench21Source —74.5%Not comparable
AA Harvey LABSource —83.4%Not comparable
CodingQwen3.7 Max wins
BenchmarkGrok 4.3Qwen3.7 MaxResult
SciCodeSource 47.3%53.5%Qwen3.7 Max leads
AA Coding IndexSource 42.3%66.0%Qwen3.7 Max leads
AA-SciCodeSource 47.3%48.8%Qwen3.7 Max leads
SWE-bench VerifiedSource —80.4%Not comparable
SWE-bench ProSource —60.6%Not comparable
SWE MultilingualSource —78.3%Not comparable
NL2RepoSource —47.2%Not comparable
LiveCodeBenchSource —91.6%Not comparable
Terminal-Bench 2.0Source —69.7%Not comparable
Reasoning
BenchmarkGrok 4.3Qwen3.7 MaxResult
AA-LCRSource 64.3%69.0%Qwen3.7 Max leads
CritPtSource 8.0%13.4%Qwen3.7 Max leads
MRCRv2Source —90.4%Not comparable
KnowledgeQwen3.7 Max wins
BenchmarkGrok 4.3Qwen3.7 MaxResult
Artificial Analysis Intelligence IndexSource 37.6%46.0%Qwen3.7 Max leads
GPQASource 90.1%92.4%Qwen3.7 Max leads
HLESource 35%41.4%Qwen3.7 Max leads
AA-Omniscience AccuracySource 34.6%30.1%Grok 4.3 leads
AA-Omniscience Hallucination RateSource 25.0%22.9%Qwen3.7 Max leads
AA-GPQA DiamondSource 90.1%92.3%Qwen3.7 Max leads
AA-HLESource 35.0%38.1%Qwen3.7 Max leads
AA-Omniscience IndexSource 18.3%14.1%Grok 4.3 leads
GPQA-DSource —92.4%Not comparable
MMLU-ProSource —89.6%Not comparable
MMLU-ReduxSource —95%Not comparable
SuperGPQASource —73.6%Not comparable
MMMLUSource —90.3%Not comparable
Math
BenchmarkGrok 4.3Qwen3.7 MaxResult
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkGrok 4.3Qwen3.7 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
BenchmarkGrok 4.3Qwen3.7 MaxResult
MMMU-ProSource 78.1%—Not comparable
Design Arena WebsiteSource 12251293Qwen3.7 Max leads
AA-MMMU-ProSource 78.1%—Not comparable
Inst. FollowingQwen3.7 Max wins
BenchmarkGrok 4.3Qwen3.7 MaxResult
IFBenchSource 81.3%79.1%Grok 4.3 leads
AA-IFBenchSource 81.3%80.5%Grok 4.3 leads
IFEvalSource —94.3%Not comparable
Frequently Asked Questions (4)

Which is better, Grok 4.3 or Qwen3.7 Max?

Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 65.1. The biggest single separator in this matchup is HLE, where the scores are 35% and 41.4%.

Which is better for knowledge tasks, Grok 4.3 or Qwen3.7 Max?

Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.2 versus 42.4. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.

Which is better for coding, Grok 4.3 or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 47.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for instruction following, Grok 4.3 or Qwen3.7 Max?

Qwen3.7 Max has the edge for instruction following in this comparison, averaging 84.4 versus 81.3. Inside this category, IFBench is the benchmark that creates the most daylight between them.

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