BenchLeader

Claude Opus 4.8 vs GPT-6.1 Sol

Verdict
  • GPT-6.1 Sol (max) leads on quality: 69.3 vs 62.4.
  • Claude Opus 4.8 (max) is stronger in instruction following.
  • GPT-6.1 Sol (max) is stronger in agents & tools, coding, composite, knowledge, long context, maths, reasoning, human preference, multimodal.
  • GPT-6.1 Sol (max) is 2.5× cheaper ($4.00 vs $10.00 per 1M blended).
MetricClaude Opus 4.8 (max)GPT-6.1 Sol (max)
BenchLeader Index62.469.3
Agents & tools score56.563.9
Coding score59.672.4
Composite score65.479.0
Instruction following score62.0–
Knowledge score67.278.8
Long context score64.066.8
Maths score68.472.5
Reasoning score69.276.4
Human preference score–68.1
Multimodal score–66.2
Blended price $/M$10.00$4.00
Output speed58 tok/s56 tok/s
Time to first answer33.7 s326.9 s
Context window1M1.1M
GPQA Diamond91.0%95.4%
FrontierMath Tiers 1–380.0%93.7%
FrontierMath Tier 456.1%100.0%
OTIS Mock AIME98.3%100.0%
SimpleQA Verified53.0%73.9%
Terminal-Bench23.6%58.2%
OSWorld-Verified 2.020.6%–
SciCode53.5%54.2%
APEX-Agents48.9%60.0%
ProofBench69.0%–
LMArena Text–1484
LMArena Hard Prompts–1507
LMArena Coding–1545
LMArena WebDev–1755
LMArena Vision–1288
LMArena Agent–11.7
LiveBench76.2%81.6%
LiveBench Reasoning89.2%92.6%
LiveBench Coding81.8%80.4%
LiveBench Agentic Coding50.5%54.5%
LiveBench Mathematics94.3%96.8%
LiveBench Data Analysis66.0%82.7%
LiveBench Language79.7%90.1%
LiveBench Instruction Following72.0%74.2%
AA Intelligence Index v4.3.241.851.8
IFBench62.2%–
AA-LCR77.7%83.0%
MMMU-Pro–86.0%
AA-Omniscience28.841.5
Terminal-Bench Hard58.3%–
GPQA Diamond (AA)92.0%–
Humanity's Last Exam (AA)48.7%52.9%
SciCode (AA)54.4%54.2%
τ²-Bench Telecom (AA)94.4%–
IOI–96.9%
Vals Index–61.1
AIME 2026100.0%–
HMMT February 202695.5%–
MathArena Apex81.3%–
MCP Atlas82.2%–
ARC-AGI-192.5%96.5%
ARC-AGI-2–94.2%
ARC-AGI-3–96.2%
CritPt20.9%31.7%
GDPval-AA v2.147.8%53.8%
τ³-Banking (AA)34.2%–
Analyst Agent (AA)45.0%50.0%
BioMysteryBench–79.6%
Code Migration–65.1%
CyberBench–39.3%
Excel Modeling Benchmark–70.8%
Finance Agent v2–52.0%
Harvey's Legal Agent Benchmark–5.4%
Legal Research Bench–38.5%
MedCode–48.8%
MedScribe–86.5%
MysteryMechanism–46.4%
Public Benefits Bench–59.3%
SAGE–46.5%
SREBench–50.8%
Tax Agent Bench–62.3%
Terminal-Bench 4.0 (Vals)–55.0%
Vibe Code Bench v1.1–88.9%
FORTRESS18.2%–
LMArena Maths–1488
LMArena Creative Writing–1462
LMArena Instruction Following–1488
LMArena Multi-turn–1487
LMArena Longer Queries–1496
Chess Puzzles34.0%61.0%
EBR-bench28.6%54.3%
Mystery Game Puzzles36.0%80.0%
PostTrainBench32.9%–
DeepSWE v1.159.0%–
LMCA57.5%–
DTBench94.9%–
Vending-Bench 22992.3–
GDP.pdf24.0%–
Terminal-Bench 4.0 (AA)21.7%56.1%
Terminal-Bench 2.1 (AA)84.6%–
AutomationBench–64.9%
GDP.pdf–31.0%
MLCR–33.9%
Harvey LAB–6.9%
AA-Omniscience: accuracy48.8%62.1%
AA-Omniscience: non-hallucination60.8%45.7%
AA-Briefcase v1.1–1557

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

Claude Opus 4.8 vs GPT-6.1 Sol: questions

Is Claude Opus 4.8 better than GPT-6.1 Sol?
GPT-6.1 Sol (max) leads on quality: 69.3 vs 62.4. 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 Claude Opus 4.8 better than GPT-6.1 Sol for coding?
GPT-6.1 Sol scores higher in coding (72 vs 60 on the category index, where 50 is average).
Is Claude Opus 4.8 better than GPT-6.1 Sol for agentic tasks?
GPT-6.1 Sol scores higher in agentic tasks (64 vs 57 on the category index, where 50 is average).
Which is cheaper, Claude Opus 4.8 or GPT-6.1 Sol?
GPT-6.1 Sol is cheaper: $4.00 against $10.00 per million tokens, blended at three input tokens per output token.
Which is faster, Claude Opus 4.8 or GPT-6.1 Sol?
Claude Opus 4.8 streams faster: 58 against 56 output tokens per second.
Which has the larger context window?
GPT-6.1 Sol accepts more context: 1.1M against 1M tokens.