BenchLeader

GPT-6.1 Sol vs Qwen3 7

Verdict
  • GPT-6.1 Sol (max) leads on quality: 69.3 vs 59.9.
  • GPT-6.1 Sol (max) is stronger in agents & tools, coding, composite, human preference, knowledge, long context, maths, multimodal, reasoning.
  • Qwen3 7 (max) is stronger in instruction following.
  • They cost about the same ($3.75 per 1M blended).
  • Qwen3 7 (max) streams 3.5× faster (197 vs 56 tokens per second).
MetricGPT-6.1 Sol (max)Qwen3 7 (max)
BenchLeader Index69.359.9
Agents & tools score63.948.3
Coding score72.459.5
Composite score79.053.8
Human preference score68.156.8
Knowledge score78.862.8
Long context score66.864.7
Maths score72.558.8
Multimodal score66.2–
Reasoning score76.465.6
Instruction following score–77.9
Blended price $/M$4.00$3.75
Output speed56 tok/s197 tok/s
Time to first answer326.9 s14.4 s
Context window1.1M1M
GPQA Diamond95.4%90.9%
FrontierMath Tiers 1–393.7%64.6%
FrontierMath Tier 4100.0%34.1%
OTIS Mock AIME100.0%95.6%
SWE-bench Verified (Epoch)–77.3%
SimpleQA Verified73.9%55.8%
Terminal-Bench58.2%–
SimpleBench–70.4%
SciCode54.2%48.8%
APEX-Agents60.0%–
ProofBench–26.0%
Epoch Capabilities Index–153.7
LMArena Text14841475
LMArena Hard Prompts15071496
LMArena Coding15451524
LMArena WebDev17551515
LMArena Vision1288–
LMArena Agent11.7-5.5
LiveBench81.6%73.1%
LiveBench Reasoning92.6%83.3%
LiveBench Coding80.4%74.2%
LiveBench Agentic Coding54.5%43.6%
LiveBench Mathematics96.8%85.3%
LiveBench Data Analysis82.7%71.8%
LiveBench Language90.1%79.7%
LiveBench Instruction Following74.2%74.0%
AA Intelligence Index v4.3.251.829.5
IFBench–80.5%
AA-LCR83.0%79.0%
MMMU-Pro86.0%–
AA-Omniscience41.513.5
Terminal-Bench Hard–50.8%
GPQA Diamond (AA)–92.3%
Humanity's Last Exam (AA)52.9%40.5%
SciCode (AA)54.2%49.5%
τ²-Bench Telecom (AA)–94.7%
LiveCodeBench–87.1%
MMLU-Pro–89.3%
IOI96.9%–
LegalBench–84.9%
CorpFin–63.7%
TaxEval–75.3%
Terminal-Bench 2.1 (Vals)–61.0%
SWE-bench (Vals)–68.8%
GPQA Diamond (Vals)–90.2%
Vals Index61.1–
EQ-Bench 4–1110
ARC-AGI-196.5%–
ARC-AGI-294.2%–
ARC-AGI-396.2%–
CritPt31.7%13.4%
GDPval-AA v2.153.8%31.4%
τ³-Banking (AA)–11.8%
ITBench SRE (AA)–42.5%
Analyst Agent (AA)50.0%18.8%
BioMysteryBench79.6%–
Code Migration65.1%13.1%
CyberBench39.3%–
Excel Modeling Benchmark70.8%57.0%
Finance Agent v252.0%47.8%
Harvey's Legal Agent Benchmark5.4%1.7%
Legal Research Bench38.5%25.5%
MedCode48.8%38.8%
MedScribe86.5%79.4%
MysteryMechanism46.4%–
Public Benefits Bench59.3%–
SAGE46.5%–
SREBench50.8%–
Tax Agent Bench62.3%47.4%
Terminal-Bench 2.0 (Vals)–59.2%
Terminal-Bench 4.0 (Vals)55.0%–
Vibe Code Bench v1.188.9%47.7%
LMArena Maths14881486
LMArena Creative Writing14621440
LMArena Instruction Following14881465
LMArena Multi-turn14871483
LMArena Longer Queries14961491
Chess Puzzles61.0%19.0%
EBR-bench54.3%9.5%
Mystery Game Puzzles80.0%32.0%
LMCA–44.0%
DTBench–92.3%
GBAEval–0.4%
ALE-Bench–1189.4
Terminal-Bench 4.0 (AA)56.1%1.5%
Terminal-Bench 2.1 (AA)–74.5%
AutomationBench64.9%–
GDP.pdf31.0%–
MLCR33.9%–
Harvey LAB6.9%–
AA-Omniscience: accuracy62.1%31.1%
AA-Omniscience: non-hallucination45.7%74.4%
AA-Briefcase v1.11557–

Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.

GPT-6.1 Sol vs Qwen3 7: questions

Is GPT-6.1 Sol better than Qwen3 7?
GPT-6.1 Sol (max) leads on quality: 69.3 vs 59.9. The BenchLeader Index combines every independent quality benchmark; GPT-6.1 Sol (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
Is GPT-6.1 Sol better than Qwen3 7 for coding?
GPT-6.1 Sol scores higher in coding (72 vs 60 on the category index, where 50 is average).
Is GPT-6.1 Sol better than Qwen3 7 for agentic tasks?
GPT-6.1 Sol scores higher in agentic tasks (64 vs 48 on the category index, where 50 is average).
Which is cheaper, GPT-6.1 Sol or Qwen3 7?
Qwen3 7 is cheaper: $3.75 against $4.00 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-6.1 Sol or Qwen3 7?
Qwen3 7 streams faster: 197 against 56 output tokens per second.
Which has the larger context window?
GPT-6.1 Sol accepts more context: 1.1M against 1M tokens.