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GPT-5.6 Sol vs Grok 4.5

Full profiles: GPT-5.6 Sol (OpenAI) and Grok 4.5 (SpaceXAI): every benchmark, price and rank.

Updated · Data from 13 sources

As of 26 Oct 2026, GPT-5.6 Sol (max) leads on quality (68.0 vs 60.0 on the BenchLeader Index), but Grok 4.5 costs 2.7× less, so it is the better buy unless you need the extra quality. GPT-5.6 Sol leads in every category we measure both in.

GPT-5.6 Sol benchmarks max OpenAI Grok 4.5 benchmarks SpaceXAIOpen in the comparison tool

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-5.6 Sol66 vs 57 category score; WeirdML 87.0% vs 46.4%High
Agents & tool useGPT-5.6 Sol67 vs 57 category score; LiveBench Agentic Coding 56.2% vs 56.5%High
MathsGPT-5.6 Sol71 vs 65 category score; LiveBench Mathematics 96.2% vs 90.8%Medium
ReasoningGPT-5.6 Sol72 vs 69 category score; LiveBench 1.0 Reasoning 91.7% vs 87.2%Medium
Images and other mediaGPT-5.6 Sol67 vs 63 category scoreMedium
Chat quality (human preference)–Only Grok 4.5 has an Arena rating (65 category score)Not comparable
Lowest costGrok 4.5$3.00 vs $8.00 per 1M blended; agentic coding session $0.144 vs $0.320–
Fastest first answerGrok 4.51.5 s (Grok 4.5) vs 112.2 s (GPT-5.6 Sol (max)) to the first answer token–
High volume on a budgetNeither flagshipA smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs–

Key differences

  • GPT-5.6 Sol (max) leads on quality: 68.0 vs 60.0.
  • GPT-5.6 Sol (max) is stronger in agents & tools, coding, composite, instruction following, knowledge, long context, maths, multimodal, reasoning.
  • Grok 4.5 is stronger in human preference.
  • Grok 4.5 is 2.7× cheaper ($3.00 vs $8.00 per 1M blended).
  • GPT-5.6 Sol (max) streams 1.5× faster (82 vs 54 tokens per second).

At a glance

SpecGPT-5.6 SolGrok 4.5
DeveloperOpenAISpaceXAI
Released9 Jul 20268 Jul 2026
Context window (tokens)1,050,000500,000
Compared atGPT-5.6 Sol (max)Grok 4.5
Open weightsNoNo
Price in / out / cached input per 1M$4.00 / $20.00 / $0.400$2.00 / $6.00 / $0.300

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-5.6 Sol (max)Grok 4.5Leader
Reasoning72.468.7GPT-5.6 Sol
Coding65.957.1GPT-5.6 Sol
Agents & tools66.556.5GPT-5.6 Sol
Maths71.065.4GPT-5.6 Sol
Knowledge65.3–not comparable
Instruction following71.1–not comparable
Human preference–65.4not comparable
Multimodal66.562.9GPT-5.6 Sol
Long context67.1–not comparable
Composite82.0–not comparable

Where sources disagree

Across the 9 benchmarks both have, GPT-5.6 Sol leads 8, Grok 4.5 leads 1. Every overall index that rates both puts GPT-5.6 Sol ahead.

Overall indexGPT-5.6 Sol (max)Grok 4.5Leader
BenchLeader Index68.060.0GPT-5.6 Sol
AA Intelligence Index v4.3.247.038.8†GPT-5.6 Sol
Arena Text1485†1466GPT-5.6 Sol

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; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureGPT-5.6 Sol (max)Grok 4.5
Blended price per 1M tokens$8.00$3.00
Input / output per 1M$4.00 / $20.00$2.00 / $6.00
Cached input per 1M$0.400$0.300
Price per task: chat reply$0.0076$0.0026
Price per task: summarize a 30-page report$0.060$0.028
Price per task: code edit$0.054$0.021
Price per task: agentic coding session$0.320$0.144
Price per task: structured extraction$0.012$0.0052
Cost to run a full benchmark suite$1.99–
Output speed82 tok/s54 tok/s
Time to first answer112.2 s1.5 s
Time to a complete answer118.3 s–

Each model is compared at its best-ranked reasoning-effort setting. GPT-5.6 Sol (max) scores 68.0 and takes 112 s to its first answer token; GPT-5.6 Sol (xhigh) scores 66.6 in 56 s, GPT-5.6 Sol (high) scores 66.3 in 10 s. Grok 4.5 scores 60.0 and takes 2 s to its first answer token; Grok 4.5 (high) scores 59.3 in 12 s. 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

131 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-5.6 Sol (max)Grok 4.5
BenchLeader IndexBenchLeader68.060.0
Agents & tools scoreBenchLeader66.556.5
Coding scoreBenchLeader65.957.1
Composite scoreBenchLeader82.0–
Instruction following scoreBenchLeader71.1–
Knowledge scoreBenchLeader65.3–
Long context scoreBenchLeader67.1–
Maths scoreBenchLeader71.065.4
Multimodal scoreBenchLeader66.562.9
Reasoning scoreBenchLeader72.468.7
Human preference scoreBenchLeader–65.4
Blended price $/MBenchLeader$8.00$3.00
Output speedBenchLeader82 tok/s54 tok/s
Time to first answerBenchLeader112.2 s1.5 s
Context windowBenchLeader1,050,000 tokens500,000 tokens
Reasoning
GPQA DiamondEpoch AI Benchmarking Hub93.5%93.4%†
SimpleBenchSimpleBench64.8%†70.0%
Arena Hard PromptsArena (LMArena)1512†1488
LiveBench 1.0 ReasoningLiveBench91.7%87.2%
GPQA Diamond (AA)Artificial Analysis94.1%93.1%†
Humanity's Last Exam (AA)Artificial Analysis49.5%42.7%†
GPQA Diamond (Vals)Vals AI95.2%92.9%†
EnigmaEvalScale AI SEAL37.1%†–
Kagi LLM BenchmarkKagi LLM Benchmark67.0%†83.5%
ARC-AGI-1ARC Prize96.5%85.7%†
ARC-AGI-2ARC Prize92.5%52.6%†
ARC-AGI-3ARC Prize7.8%0.3%†
CritPtArtificial Analysis32.3%15.4%†
MysteryMechanismVals AI33.3%–
Chess PuzzlesEpoch AI Benchmarking Hub59.0%35.0%†
Mystery Game PuzzlesEpoch AI Benchmarking Hub58.0%–
LMCAEpoch AI Benchmarking Hub58.4%45.2%†
DTBenchEpoch AI Benchmarking Hub95.5%96.5%†
ForecastBenchForecastBench65.5%66.1%†
BTF-3Epoch AI Benchmarking Hub13.7%–
Coding
SciCodeSciCode57.1%55.0%†
WeirdMLWeirdML87.0%46.4%
FrontierCodeCognition47.5%†42.4%
GSO-BenchGSO-Bench76.5%†–
Arena CodingArena (LMArena)1534†1514
Show all 131 benchmarks
MetricPublisherGPT-5.6 Sol (max)Grok 4.5
Coding
Arena WebDevArena (LMArena)1615†1553
LiveBench 1.0 CodingLiveBench83.9%68.6%
LiveCodeBenchVals AI82.6%87.3%†
IOIVals AI91.2%40.6%†
SWE-bench (Vals)Vals AI96.2%86.6%†
Code MigrationVals AI52.9%36.6%†
ProgramBenchVals AI1.5%0.0%†
Vibe Code Bench 1-100Vals AI20.0%–
Vibe Code Bench v1.1Vals AI80.5%69.0%†
SWE Atlas: Codebase QnAScale AI SEAL46.0%†–
SWE Atlas: Test WritingScale AI SEAL45.9%†–
MirrorCodeEpoch AI Benchmarking Hub20.0%†–
Surface Evolver BenchEpoch AI Benchmarking Hub93.1%†74.4%†
DeepSWE v1.1Epoch AI Benchmarking Hub72.7%53.8%†
CursorBenchCursor41.7%–
ALE-BenchEpoch AI Benchmarking Hub2176.91309.3†
FrontierSWEEpoch AI Benchmarking Hub32.2%–
Terminal-Bench 4.0 (AA)Artificial Analysis39.9%10.6%†
Terminal-Bench 2.1 (AA)Artificial Analysis88.0%81.7%†
Startrise FrontendStartrise66.2%†68.0%
Agents & tools
Terminal-BenchTerminal-Bench37.3%12.4%†
OSWorld-Verified 2.0OSWorld27.3%–
APEX-AgentsMercor–56.2%
Arena AgentArena (LMArena)6.1†–
LiveBench Agentic CodingLiveBench56.2%56.5%
Terminal-Bench HardArtificial Analysis65.9%–
τ²-Bench Telecom (AA)Artificial Analysis85.1%–
Terminal-Bench 2.1 (Vals)Vals AI85.8%67.8%†
HiL-BenchScale AI SEAL32.3%†–
τ³-bench Bankingτ²-bench46.9%†47.9%†
τ³-Banking (AA)Artificial Analysis44.3%42.1%†
ITBench SRE (AA)Artificial Analysis56.2%–
Analyst Agent (AA)Artificial Analysis47.5%35.0%†
CUA-benchVals AI8.3%–
CyberBenchVals AI76.3%71.0%†
Finance Agent v2Vals AI53.8%48.4%†
Harvey's Legal Agent Benchmark v1Vals AI2.5%12.9%†
Legal Research BenchVals AI48.1%38.0%†
SkillsBenchVals AI54.1%66.0%†
SREBenchVals AI30.5%0.8%†
Tax Agent BenchVals AI31.1%24.9%†
Terminal-Bench 4.0 (Vals)Vals AI37.9%8.6%†
Terminal-Bench ScienceVals AI20.0%–
Time Horizon Index: KSPVals AI23.8%6.3%†
Web Search IndexVals AI43.6%35.5%†
Arena SearchArena (LMArena)1258†1206
BALROGBALROG60.0%–
PostTrainBenchEpoch AI Benchmarking Hub36.2%23.4%†
GBAEvalEpoch AI Benchmarking Hub52.6%†65.4%
Vending-Bench 2Andon Labs9619.4†3887.4
AutomationBenchArtificial Analysis60.1%57.9%†
GDP.pdf (AA)Artificial Analysis27.2%18.8%†
EnterpriseOps-GymArtificial Analysis42.9%40.8%†
AA-Briefcase v1.1Artificial Analysis14791278†
Terminal-Bench-Science 0.1 (AA)Artificial Analysis22.4%–
FACTS SearchGoogle88.5%†79.4%
Maths
FrontierMath Tiers 1–3Epoch AI Benchmarking Hub89.1%57.2%†
FrontierMath Tier 4Epoch AI Benchmarking Hub82.9%24.4%†
OTIS Mock AIMEEpoch AI Benchmarking Hub100.0%97.8%†
ProofBenchVals AI83.0%31.0%†
LiveBench MathematicsLiveBench96.2%90.8%
Arena MathsArena (LMArena)1496†1473
Knowledge
SimpleQA VerifiedEpoch AI Benchmarking Hub69.7%48.3%†
LiveBench 1.0 Data AnalysisLiveBench79.8%73.0%
AA-OmniscienceArtificial Analysis22.025.3†
MMLU-ProVals AI89.1%89.2%†
LegalBenchVals AI87.0%86.0%†
CorpFinVals AI64.4%67.4%†
TaxEvalVals AI74.8%71.7%†
PRBench FinanceScale AI SEAL50.5%–
PRBench LegalScale AI SEAL50.5%–
BioMysteryBenchVals AI71.1%–
Excel Modeling BenchmarkVals AI72.3%52.9%†
MedCodeVals AI44.0%43.3%†
MedScribeVals AI85.2%86.9%†
Public Benefits Bench v1.1Vals AI66.5%–
DrugDiscoveryBenchScale AI SEAL56.5%–
EBR-benchEpoch AI Benchmarking Hub44.8%–
GDP.pdfEpoch AI Benchmarking Hub30.7%14.0%†
AA-Omniscience: accuracyArtificial Analysis59.4%51.5%†
AA-Omniscience: non-hallucinationArtificial Analysis7.8%45.9%†
Instruction following
LiveBench LanguageLiveBench87.7%82.8%
LiveBench Instruction FollowingLiveBench71.8%71.5%
IFBenchArtificial Analysis72.7%–
Arena Instruction FollowingArena (LMArena)1491†1461
Human preference
Arena TextArena (LMArena)1485†1466
EQ-Bench 4EQ-Bench1240†–
Arena Creative WritingArena (LMArena)1470†1452
Arena Multi-turnArena (LMArena)1490†1473
Arena Longer QueriesArena (LMArena)1499†1480
Multimodal
Arena VisionArena (LMArena)1281†1287
MMMU-ProArtificial Analysis83.4%80.4%†
MMMU-Pro (Vals)Vals AI88.8%61.8%†
MortgageTaxVals AI67.3%61.8%†
SAGEVals AI52.6%35.0%†
Blueprint-Bench 2Epoch AI Benchmarking Hub33.6%†27.3%
Long context
AA-LCRArtificial Analysis84.0%79.3%†
Arena DocumentArena (LMArena)1489†1464
MLCRArtificial Analysis30.0%16.1%†
Composite
Epoch Capabilities IndexEpoch AI Benchmarking Hub162.8†154.1
LiveBench 1.0LiveBench81.0%75.8%
AA Intelligence Index v4.3.2Artificial Analysis47.038.8†
Vals RSI IndexVals AI23.9%–
Vals Science IndexVals AI41.5%–
Vals Multimodal IndexVals AI72.6%63.4%†
Safety & honesty
FORTRESSScale AI SEAL20.1%†–

Data as of 2026-10-26. Best configuration of each model; every score links to its source on the model pages.

What changed

  • Grok 4.5: BenchLeader Index 58.8 → 60.0.
  • GPT-5.6 Sol (max): 1 new result (AA-Briefcase v1.1).
  • GPT-5.6 Sol (max): 3 new results (Harvey's Legal Agent Benchmark v1, Vals RSI Index, Vals Science Index).
  • GPT-5.6 Sol (max): 1 score revision.
  • GPT-5.6 Sol (max): 1 new result (ForecastBench).
  • Grok 4.5: 6 new results (LiveBench 2.0, LiveBench Long Agentic, LiveBench 2.0 Coding…).
  • GPT-5.6 Sol (max): 5 new results (AutomationBench, GDP.pdf (AA), MLCR…).
  • GPT-5.6 Sol (max): 1 score revision.
  • Grok 4.5: 1 new result (Startrise Frontend).
  • GPT-5.6 Sol (max): 1 score revision.

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

GPT-5.6 Sol vs Grok 4.5: questions

Is GPT-5.6 Sol better than Grok 4.5?
GPT-5.6 Sol (max) leads on quality: 68.0 vs 60.0. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Sol (max) is ahead overall as of 2026-10-26, but check the category scores for your use.
Which is cheaper, GPT-5.6 Sol or Grok 4.5, and will that change?
Grok 4.5 is cheaper today: $3.00 against $8.00 per million tokens, blended at three input tokens per output token. No price change has been announced for either.
Is GPT-5.6 Sol better than Grok 4.5 for coding?
GPT-5.6 Sol scores higher in coding (66 vs 57 on the category index, where 50 is average). On WeirdML, the top shared coding benchmark, it is 87.0% for GPT-5.6 Sol against 46.4% for Grok 4.5.
Is GPT-5.6 Sol better than Grok 4.5 for agents and tool use?
GPT-5.6 Sol scores higher in agentic tasks (67 vs 57 on the category index, where 50 is average).
Which is better for long documents?
GPT-5.6 Sol accepts more context: 1,050,000 against 500,000 tokens for Grok 4.5.
Which has lower latency?
Grok 4.5 answers first: 1.5 s against 112.2 s to the first answer token, as Artificial Analysis measures it. Reasoning effort drives most of this: a higher setting thinks longer before it answers.
Which is faster, GPT-5.6 Sol or Grok 4.5?
GPT-5.6 Sol streams faster: 82 against 54 output tokens per second.
Do independent benchmarks agree on GPT-5.6 Sol vs Grok 4.5?
Across the 9 benchmarks both have, GPT-5.6 Sol leads 8, Grok 4.5 leads 1. Every overall index that rates both puts GPT-5.6 Sol ahead.
When was GPT-5.6 Sol released?
GPT-5.6 Sol was released on 9 Jul 2026.