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GPT-6 Sol vs Qwen3.6 Max

Full profiles: GPT-6 Sol (OpenAI) and Qwen3.6 Max (Alibaba): every benchmark, price and rank.

Updated · Data from 10 sources

As of 9 Nov 2026, GPT-6 Sol and Qwen3.6 Max are neck and neck on quality (62.9 vs 62.4 on the BenchLeader Index, inside the ±4.3 margin), and Qwen3.6 Max is 1.4× cheaper at $2.92 vs $4.00 per 1M tokens blended. Choose GPT-6 Sol for coding (67 vs 56), maths (69 vs 64), and reasoning (66 vs 63); choose Qwen3.6 Max for agents & tools (72 vs 60).

Key facts (as of 9 Nov 2026)

  • GPT-6 Sol scores 62.9 on the BenchLeader Index and Qwen3.6 Max scores 62.4 (BenchLeader, 9 Nov 2026).
  • GPT-6 Sol costs $4.00 per 1M tokens blended (list price, 9 Nov 2026).
  • Qwen3.6 Max costs $2.92 per 1M tokens blended (list price, 9 Nov 2026).
  • Of the 17 benchmarks both models have, GPT-6 Sol leads 13 (BenchLeader, 9 Nov 2026).
  • On Arena WebDev, GPT-6 Sol is rated 1674 and Qwen3.6 Max 1482 (LMArena, as published by 9 Nov 2026).
GPT-6 Sol benchmarks max OpenAI Qwen3.6 Max benchmarks max AlibabaAdd a third model

Which to pick for…

The pick's numbers come first. Category scores on the BenchLeader scale (50 is the average model, 15 points one standard deviation). High confidence means a lead of half a standard deviation or more; under one point is called either.

Use casePickWhyConfidence
CodingGPT-6 Sol67 vs 56 category score; Arena WebDev 1674 vs 1482High
Agents & tool useQwen3.6 Max72 vs 60 category scoreHigh
MathsGPT-6 Sol69 vs 64 category score; OTIS Mock AIME 100.0% vs 91.1%Medium
ReasoningGPT-6 Sol66 vs 63 category score; GPQA Diamond 94.3% vs 87.4%Medium
KnowledgeGPT-6 Sol62 vs 60 category score; SimpleQA Verified 60.7% vs 52.0%Medium
Long documentsGPT-6 Sol67 vs 65 category score; AA-LCR v1.1 83.7% vs 80.7%Medium
Chat quality (human preference)Either64 vs 65 on Arena votesEither
Lowest costQwen3.6 Max$2.92 vs $4.00 per 1M blended; agentic coding session $0.109 vs $0.160–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • GPT-6 Sol (max) and Qwen3.6 Max (max) are neck and neck on quality (62.9 vs 62.4, within the ±4.3 margin).
  • GPT-6 Sol (max) is stronger in coding, knowledge, long context, maths, multimodal, reasoning.
  • Qwen3.6 Max (max) is stronger in agents & tools, human preference, instruction following.
  • Qwen3.6 Max (max) is 1.4× cheaper ($2.92 vs $4.00 per 1M blended).

At a glance

SpecGPT-6 SolQwen3.6 Max
DeveloperOpenAIAlibaba
Released22 Sep 202620 Apr 2026
Context window (tokens)1,050,000262,144
Compared atGPT-6 Sol (max)Qwen3.6 Max (max)
Open weightsNoNo
Price in / out / cached input per 1M$2.00 / $10.00 / $0.200$1.30 / $7.80 / $0.130

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryGPT-6 Sol (max)Qwen3.6 Max (max)Leader
Reasoning66.262.6GPT-6 Sol
Coding66.556.3GPT-6 Sol
Agents & tools59.672.1Qwen3.6 Max
Maths68.564.4GPT-6 Sol
Knowledge61.560.4GPT-6 Sol
Instruction following–74.7not comparable
Human preference64.264.6level
Multimodal60.7–not comparable
Long context66.665.0GPT-6 Sol

On one chart

Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.

2550 avg75ReasoningCodingAgents & toolsMathsKnowledgeLong contextHumanpreferenceGPT-6 Sol, Reasoning: 66.2GPT-6 Sol, Coding: 66.5GPT-6 Sol, Agents & tools: 59.6GPT-6 Sol, Maths: 68.5GPT-6 Sol, Knowledge: 61.5GPT-6 Sol, Long context: 66.6GPT-6 Sol, Human preference: 64.2Qwen3.6 Max, Reasoning: 62.6Qwen3.6 Max, Coding: 56.3Qwen3.6 Max, Agents & tools: 72.1Qwen3.6 Max, Maths: 64.4Qwen3.6 Max, Knowledge: 60.4Qwen3.6 Max, Long context: 65.0Qwen3.6 Max, Human preference: 64.6

Not drawn, measured for fewer than two of these models: Instruction following, Multimodal.

ModelIndex

Where sources disagree

Across the 17 benchmarks both have, GPT-6 Sol leads 13, Qwen3.6 Max leads 4. Every overall index that rates both puts Qwen3.6 Max ahead.

Overall indexGPT-6 Sol (max)Qwen3.6 Max (max)Leader
BenchLeader Index62.962.4neck and neck
Arena Text14571460Qwen3.6 Max

Each publisher runs its own tasks, harnesses and effort settings, so their overall verdicts can differ; BenchLeader reconciles them on one scale. † measured at another effort setting of the same model (the publisher did not test the one compared here).

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.

MeasureGPT-6 Sol (max)Qwen3.6 Max (max)
Blended price per 1M tokens$4.00$2.92
Input / output per 1M$2.00 / $10.00$1.30 / $7.80
Cached input per 1M$0.200$0.130
Price per task: chat reply$0.0038$0.0029
Price per task: summarize a 30-page report$0.030$0.020
Price per task: code edit$0.027$0.019
Price per task: agentic coding session$0.160$0.109
Price per task: structured extraction$0.0060$0.0042
Agentic coding session, input mostly cached$0.079$0.057
Cost per benchmark task (AA Index)$2.47–
Output tokens per task (AA Index)54k–
Of which reasoning35k–
Time per task (AA Index)7 min–
Output speed121 tok/s–
Time to first answer72.1 s–
Time to a complete answer130.2 s–

Each model is compared at its best-ranked reasoning-effort setting. GPT-6 Sol (max) scores 62.9 and takes 72 s to its first answer token; GPT-6 Sol (xhigh) scores 58.6 in 24 s, GPT-6 Sol (high) scores 58.2 in 9 s. Qwen3.6 Max (max) scores 62.4. Higher effort means more thinking before the answer: better scores, longer waits and more tokens billed. How reasoning effort changes scores and cost.

Every benchmark

107 benchmarks, grouped by category; each name links to the board and its leaders. † measured at another effort setting of the same model, shown for reference and not counted as a win.

MetricPublisherGPT-6 Sol (max)Qwen3.6 Max (max)
BenchLeader IndexBenchLeader62.962.4
Agents & tools scoreBenchLeader59.672.1
Coding scoreBenchLeader66.556.3
Human preference scoreBenchLeader64.264.6
Knowledge scoreBenchLeader61.560.4
Long context scoreBenchLeader66.665.0
Maths scoreBenchLeader68.564.4
Multimodal scoreBenchLeader60.7–
Reasoning scoreBenchLeader66.262.6
Instruction following scoreBenchLeader–74.7
Blended price $/MBenchLeader$4.00$2.92
Output speedBenchLeader121 tok/s–
Time to first answerBenchLeader72.1 s–
Context windowBenchLeader1,050,000 tokens262,144 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub94.3%87.4%
SimpleBenchSimpleBench–63.0%
Arena Hard PromptsArena (LMArena)14831481
LiveBench 1.0 ReasoningLiveBench88.7%–
GPQA Diamond (AA)Artificial Analysis–88.8%
Humanity's Last Exam (AA)Artificial Analysis47.9%30.8%
HLE-Diamond (AA)Artificial Analysis45.2%–
ARC-AGI-1ARC Prize95.5%–
ARC-AGI-2ARC Prize89.6%–
ARC-AGI-3ARC Prize23.0%–
CritPtArtificial Analysis30.9%3.7%
CritPt v2 hard subset (AA)Artificial Analysis66.5%–
MysteryMechanismVals AI30.2%–
Chess PuzzlesEpoch AI Benchmarking Hub56.0%–
Mystery Game PuzzlesEpoch AI Benchmarking Hub56.0%19.0%†
LMCAEpoch AI Benchmarking Hub59.1%42.5%
DTBenchEpoch AI Benchmarking Hub97.3%87.2%
Coding
SWE-bench Verified (Epoch)Epoch AI Benchmarking Hub–76.7%
SciCodeSciCode57.6%–
FrontierCodeCognition49.3%–
Arena CodingArena (LMArena)15201510
Arena WebDevArena (LMArena)16741482
LiveBench 1.0 CodingLiveBench81.8%–
IOIVals AI82.6%–
SWE-bench (Vals)Vals AI–72.8%
Show all 107 benchmarks
MetricPublisherGPT-6 Sol (max)Qwen3.6 Max (max)
Coding
Code MigrationVals AI57.2%–
ProgramBenchVals AI2.0%–
Vibe Code Bench v1.1Vals AI87.8%–
ALE-BenchEpoch AI Benchmarking Hub2462–
Terminal-Bench 4.0 (AA)Artificial Analysis43.9%–
GameBench 2 OverallDuelLab GameBench 272.9†–
GameBench 2 by reasoning settingDuelLab GameBench 279.3†–
Design Arena WebsiteDesign Arena1285†–
FrontierCode 2.0 (AA)Artificial Analysis35.6%–
Agents & tools
Terminal-BenchTerminal-Bench50.3%–
APEX-AgentsMercor54.3%–
Arena AgentArena (LMArena)7–
LiveBench Agentic CodingLiveBench52.9%–
Terminal-Bench HardArtificial Analysis–43.9%
τ²-Bench Telecom (AA)Artificial Analysis–95.9%
Terminal-Bench 2.1 (Vals)Vals AI83.2%–
ITBench SRE (AA)Artificial Analysis49.4%–
CyberBenchVals AI78.0%–
Finance Agent v2Vals AI49.0%–
Harvey's Legal Agent Benchmark v1Vals AI1.7%–
Legal Research BenchVals AI28.9%–
SREBenchVals AI30.5%–
Tax Agent BenchVals AI15.0%–
Terminal-Bench 2.0 (Vals)Vals AI–51.7%
Terminal-Bench 4.0 (Vals)Vals AI44.4%–
Terminal-Bench ScienceVals AI30.0%–
Arena SearchArena (LMArena)1229–
Vending-Bench 2Andon Labs14427.9†4254.2
AutomationBenchArtificial Analysis61.6%–
GDP.pdf (AA)Artificial Analysis25.2%–
Harvey LAB-AA v1.1Harvey3.6%–
AA-Briefcase v1.1Artificial Analysis1476–
Design Arena AgenticDesign Arena1212†–
Terminal-Bench-Science 0.1 (AA)Artificial Analysis30.0%–
CWE-Bench (AA)Artificial Analysis64.2%–
DeepSec-Bench (AA)Artificial Analysis46.3%–
CyberGym end-to-end (AA)Artificial Analysis0.0%–
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub89.8%–
FrontierMath Tier 4Epoch AI Benchmarking Hub90.0%–
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%91.1%
ProofBenchVals AI83.0%†–
LiveBench MathematicsLiveBench96.4%–
Arena MathsArena (LMArena)14401472
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub60.7%52.0%
LiveBench 1.0 Data AnalysisLiveBench81.2%–
AA-Omniscience v1.1Artificial Analysis21.4–
CorpFinVals AI–66.5%
PRBench LegalScale AI SEAL38.6%†–
BioMysteryBenchVals AI74.8%–
CaseLaw v2Vals AI–47.9%
Excel Modeling BenchmarkVals AI71.5%–
MedCodeVals AI47.1%–
MedScribeVals AI82.0%–
Public Benefits Bench v1.1Vals AI56.6%–
EBR-benchEpoch AI Benchmarking Hub53.3%–
GDP.pdfEpoch AI Benchmarking Hub26.4%–
AA-Omniscience v1.1: accuracyArtificial Analysis51.1%–
AA-Omniscience v1.1: non-hallucinationArtificial Analysis39.1%–
HealthBench Professional (AA)OpenAI62.3%–
Instruction following
LiveBench LanguageLiveBench85.3%–
LiveBench Instruction FollowingLiveBench68.6%–
IFBenchArtificial Analysis–76.6%
Arena Instruction FollowingArena (LMArena)14481450
Human preference
Arena TextArena (LMArena)14571460
Arena Creative WritingArena (LMArena)14301437
Arena Multi-turnArena (LMArena)14661466
Arena Longer QueriesArena (LMArena)14661473
Multimodal
Arena VisionArena (LMArena)1232–
MMMU-ProArtificial Analysis83.0%–
Blueprint-Bench 2Epoch AI Benchmarking Hub36.9%†–
AA-3DArtificial Analysis1131–
Long context
AA-LCR v1.1Artificial Analysis83.7%80.7%
MLCRArtificial Analysis33.9%–
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub164.1†149.8
LiveBench 1.0LiveBench79.3%–
AA Intelligence Index v5.0Artificial Analysis44.2–
AA Intelligence Index v4.3.2Artificial Analysis47.628.4
AA Progress Index v1Artificial Analysis334297.1
Vals RSI IndexVals AI28.1%–
Vals Science IndexVals AI45.0%–
AA Cyber IndexArtificial Analysis36.8–
Safety & honesty
FORTRESSScale AI SEAL13.5%†–

Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.

DuelLab GameBench 2, release gb2-20261103-eaea31df94e6 (https://benchmarks.duellab.org/releases/gb2-20261103-eaea31df94e6/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.

What changed

  • GPT-6 Sol (max): BenchLeader Index 63.5 → 62.9.
  • GPT-6 Sol (max): 2 score revisions.
  • GPT-6 Sol (max): 1 score revision.
  • GPT-6 Sol (max): 1 score revision.
  • GPT-6 Sol (max): 6 new results (AA Intelligence Index v5.0, AA-Omniscience v1.1, CritPt v2 hard subset (AA)…).
  • GPT-6 Sol (max): 1 score revision.
  • GPT-6 Sol (max): 1 score revision.
  • GPT-6 Sol (max): BenchLeader Index 64.1 → 63.5.
  • GPT-6 Sol (max): 2 new results (AA Progress Index v1, HLE-Diamond (AA)).
  • Qwen3.6 Max (max): 1 new result (AA Progress Index v1).

Rankings: Best LLM overall · Best LLM for agents · Best cheap LLMs

GPT-6 Sol vs Qwen3.6 Max: questions

Is GPT-6 Sol better than Qwen3.6 Max?
GPT-6 Sol (max) and Qwen3.6 Max (max) are neck and neck on quality (62.9 vs 62.4, within the ±4.3 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 9 Nov 2026, so check the category scores for your use.
GPT-6 Sol vs Qwen3.6 Max: which is cheaper, and will that change?
Qwen3.6 Max is cheaper today: $2.92 against $4.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is GPT-6 Sol or Qwen3.6 Max better for coding?
GPT-6 Sol scores higher in coding (67 vs 56 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1674 for GPT-6 Sol against 1482 for Qwen3.6 Max.
Is GPT-6 Sol or Qwen3.6 Max better for agents and tool use?
Qwen3.6 Max scores higher in agentic tasks (72 vs 60 on the category index, where 50 is average).
Which is better for long documents?
GPT-6 Sol scores higher on long-context benchmarks (67 vs 65). GPT-6 Sol accepts more context: 1,050,000 against 262,144 tokens for Qwen3.6 Max.
More questions (2)
Do independent benchmarks agree on GPT-6 Sol vs Qwen3.6 Max?
Across the 17 benchmarks both have, GPT-6 Sol leads 13, Qwen3.6 Max leads 4. Every overall index that rates both puts Qwen3.6 Max ahead.
When was GPT-6 Sol released?
GPT-6 Sol was released on 22 Sep 2026.