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Model comparison

GPT-5.6 Terra vs Qwen3.7 Max

Data verified

Head-to-head evidence from 25 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

72.57/100
Margin
0.3pts
winning →
72.84/100
2 category wins2 category wins

Public leaderboard positions: GPT-5.6 Terra #11 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.6 Terra and Qwen3.7 Max share 25 comparable benchmark results. 4 of 8 categories are comparable. 19 results are unique to GPT-5.6 Terra; 33 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
25
GPT-5.6 Terra only
19
Qwen3.7 Max only
33
Comparable categories
4 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. GPT-5.6 Terra only becomes the better choice if knowledge is the priority.

Confidence note. This is a partial-evidence comparison with 25 shared benchmark results across 5 evidence categories; 4 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 has the cleaner BenchAlign overall profile here, landing at 72.84 versus 72.57. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Qwen3.7 Max's sharpest advantage is in mathematics, where it averages 97.1 against 80.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 87.4% to 69.7%. GPT-5.6 Terra does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

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 GPT-5.6 Terra and Qwen3.7 Max
CategoryGPT-5.6 TerraΔQwen3.7 Max
KnowledgeGPT-5.6 Terra92.9Margin← 28.7Qwen3.7 Max64.2
AgenticGPT-5.6 Terra87.4Margin← 17.7Qwen3.7 Max69.7
MathGPT-5.6 Terra80.8Margin→ 16.3Qwen3.7 Max97.1
CodingGPT-5.6 Terra63.4Margin→ 14.5Qwen3.7 Max77.9
ReasoningGPT-5.6 TerraNot measuredMarginNo overlapQwen3.7 Max90.4
MultilingualGPT-5.6 TerraNot measuredMarginNo overlapQwen3.7 Max87.0
MultimodalGPT-5.6 Terra80.7MarginNo overlapQwen3.7 MaxNot measured
Inst. FollowingGPT-5.6 TerraNot measuredMarginNo overlapQwen3.7 Max84.4

Decisive benchmark drivers

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

More
A · GPT-5.6 TerraB · Qwen3.7 Max

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 87.4%B 69.7%
    Winner: GPT-5.6 TerraΔ 17.7
    Terminal-Bench 2.0: GPT-5.6 Terra scored 87.4%; Qwen3.7 Max scored 69.7%. GPT-5.6 Terra wins this benchmark.

  2. SWE-bench Pro

    Coding
    Source ↗
    A 63.4%B 60.6%
    Winner: GPT-5.6 TerraΔ 2.8
    SWE-bench Pro: GPT-5.6 Terra scored 63.4%; Qwen3.7 Max scored 60.6%. GPT-5.6 Terra wins this benchmark.

  3. GPQA

    Knowledge
    Source ↗
    A 92.9%B 92.4%
    Winner: GPT-5.6 TerraΔ 0.5
    GPQA: GPT-5.6 Terra scored 92.9%; Qwen3.7 Max scored 92.4%. GPT-5.6 Terra wins this benchmark.

Operational comparison

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

MetricGPT-5.6 TerraQwen3.7 MaxComparison
Input / output priceUSD per 1M tokensGPT-5.6 Terra$2.5 input / $15 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.6 TerraNot availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.6 TerraNot availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.6 Terra1MQwen3.7 Max1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.6 Terra wins
BenchmarkGPT-5.6 TerraQwen3.7 MaxResult
Terminal-Bench 2.0Source 87.4%69.7%GPT-5.6 Terra leads
BrowseCompSource 87.5%—Not comparable
OSWorld 2.0Source 50.2%—Not comparable
CyberGymSource 81.8%—Not comparable
ExploitGymSource 23.2%—Not comparable
ToolathlonSource 53.1%—Not comparable
AA Agentic IndexSource 47.4%30.6%GPT-5.6 Terra leads
τ²-bench resultsSource 86.3%94.7%Qwen3.7 Max leads
GDPval-AASource 54.1%38.7%GPT-5.6 Terra leads
GDPval-AASource 15811273GPT-5.6 Terra leads
AA Harvey LABSource 85.2%83.4%GPT-5.6 Terra leads
AA ITBenchSource 51.0%42.5%GPT-5.6 Terra leads
AA Tau3 BankingSource 31.8%—Not comparable
AA AutomationBenchSource 45.6%25.6%GPT-5.6 Terra leads
terminalBenchHardSource 57.6%50.8%GPT-5.6 Terra leads
aaTerminalBench21Source 88%74.5%GPT-5.6 Terra leads
APEX-Agents-AASource 38.9%—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
Gert LabsSource —64.27%Not comparable
ResearchClawBenchSource —18.7%Not comparable
AA BriefcaseSource —908Not comparable
AA EnterpriseOps-GymSource —45.0%Not comparable
CodingQwen3.7 Max wins
BenchmarkGPT-5.6 TerraQwen3.7 MaxResult
SWE-bench ProSource 63.4%60.6%GPT-5.6 Terra leads
Terminal-Bench 2.0Source 87.4%69.7%GPT-5.6 Terra leads
deepSweSource 69.6%—Not comparable
FrontierCode 1.1 ExtendedSource 55.8%—Not comparable
cursorBench32Source 64.9%—Not comparable
AA Coding IndexSource 76.7%66.0%GPT-5.6 Terra leads
AA-SciCodeSource 53.9%48.8%GPT-5.6 Terra leads
SWE-bench VerifiedSource —80.4%Not comparable
SWE MultilingualSource —78.3%Not comparable
NL2RepoSource —47.2%Not comparable
SciCodeSource —53.5%Not comparable
LiveCodeBenchSource —91.6%Not comparable
Reasoning
BenchmarkGPT-5.6 TerraQwen3.7 MaxResult
ARC-AGI-3Source 0.8%—Not comparable
AA-LCRSource 74.0%69.0%GPT-5.6 Terra leads
CritPtSource 30.0%13.4%GPT-5.6 Terra leads
MRCRv2Source —90.4%Not comparable
KnowledgeGPT-5.6 Terra wins
BenchmarkGPT-5.6 TerraQwen3.7 MaxResult
GPQASource 92.9%92.4%GPT-5.6 Terra leads
GPQA-DSource 92.9%92.4%GPT-5.6 Terra leads
HealthBench ProfessionalSource 57.7%—Not comparable
HealthBench HardSource 32.7%—Not comparable
Artificial Analysis Intelligence IndexSource 55.0%46.0%GPT-5.6 Terra leads
AA-GPQA DiamondSource 92.5%92.3%GPT-5.6 Terra leads
AA-HLESource 41.8%38.1%GPT-5.6 Terra leads
AA-Omniscience IndexSource -0.2%14.1%Qwen3.7 Max leads
AA-Omniscience AccuracySource 45.9%30.1%GPT-5.6 Terra leads
AA-Omniscience Hallucination RateSource 85.2%22.9%Qwen3.7 Max leads
HLESource —41.4%Not comparable
MMLU-ProSource —89.6%Not comparable
MMLU-ReduxSource —95%Not comparable
SuperGPQASource —73.6%Not comparable
MMMLUSource —90.3%Not comparable
MathQwen3.7 Max wins
BenchmarkGPT-5.6 TerraQwen3.7 MaxResult
FrontierMath (legacy)Source 84.9%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 84.900%—Not comparable
FrontierMath v2 (Tier 4)Source 68.300%—Not comparable
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkGPT-5.6 TerraQwen3.7 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
BenchmarkGPT-5.6 TerraQwen3.7 MaxResult
MMMU-ProSource 80.7%—Not comparable
MMMU-Pro w/ PythonSource 82%—Not comparable
AA-MMMU-ProSource 80.7%—Not comparable
Design Arena WebsiteSource —1293Not comparable
Inst. Following
BenchmarkGPT-5.6 TerraQwen3.7 MaxResult
AA-IFBenchSource 71.2%80.5%Qwen3.7 Max leads
IFEvalSource —94.3%Not comparable
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (5)

Which is better, GPT-5.6 Terra or Qwen3.7 Max?

Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 72.57. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 87.4% and 69.7%.

Which is better for knowledge tasks, GPT-5.6 Terra or Qwen3.7 Max?

GPT-5.6 Terra has the edge for knowledge tasks in this comparison, averaging 92.9 versus 64.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.6 Terra or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 63.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for math, GPT-5.6 Terra or Qwen3.7 Max?

Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 80.8. GPT-5.6 Terra stays close enough that the answer can still flip depending on your workload.

Which is better for agentic tasks, GPT-5.6 Terra or Qwen3.7 Max?

GPT-5.6 Terra has the edge for agentic tasks in this comparison, averaging 87.4 versus 69.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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