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Model comparison

GPT-5.4 Pro vs GPT-5.6 Sol

Data verified

Head-to-head evidence from 6 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.89/100
Margin
21.1pts
winning →
81.96/100
1 category wins3 category wins

Public leaderboard positions: GPT-5.4 Pro #44 (Estimated); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.4 Pro and GPT-5.6 Sol share 6 comparable benchmark results. 4 of 8 categories are comparable. 6 results are unique to GPT-5.4 Pro; 40 to GPT-5.6 Sol.

Updated July 23, 2026
Shared results
6
GPT-5.4 Pro only
6
GPT-5.6 Sol only
40
Comparable categories
4 / 8

Pick GPT-5.6 Sol if you want the stronger benchmark profile. GPT-5.4 Pro only becomes the better choice if multimodal & grounded is the priority or you need the larger 1.05M context window.

Confidence note. This is a partial-evidence comparison with 6 shared benchmark results across 4 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

GPT-5.6 Sol is clearly ahead on the BenchAlign aggregate, 81.96 to 60.89. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.6 Sol's sharpest advantage is in mathematics, where it averages 87.5 against 46.9. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 37.500% to 83.000%. GPT-5.4 Pro does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.

GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $5.00 input / $30.00 output per 1M tokens for GPT-5.6 Sol. That is roughly 6.0x on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 1M for GPT-5.6 Sol.

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-5.4 Pro and GPT-5.6 Sol
CategoryGPT-5.4 ProΔGPT-5.6 Sol
MathGPT-5.4 Pro46.9Margin→ 40.6GPT-5.6 Sol87.5
KnowledgeGPT-5.4 Pro58.7Margin→ 35.9GPT-5.6 Sol94.6
MultimodalGPT-5.4 Pro94.0Margin← 11.0GPT-5.6 Sol83.0
AgenticGPT-5.4 Pro89.3Margin→ 2.7GPT-5.6 Sol92.0
CodingGPT-5.4 ProNot measuredMarginNo overlapGPT-5.6 Sol64.6
ReasoningGPT-5.4 Pro83.3MarginNo overlapGPT-5.6 SolNot measured

Decisive benchmark drivers

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

More
A · GPT-5.4 ProB · GPT-5.6 Sol

  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 37.500%B 83.000%
    Winner: GPT-5.6 SolΔ 45.5
    FrontierMath v2 (Tier 4): GPT-5.4 Pro scored 37.500%; GPT-5.6 Sol scored 83.000%. GPT-5.6 Sol wins this benchmark.

  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 50.000%B 89.000%
    Winner: GPT-5.6 SolΔ 39
    FrontierMath v2 (Tiers 1-3): GPT-5.4 Pro scored 50.000%; GPT-5.6 Sol scored 89.000%. GPT-5.6 Sol wins this benchmark.

  3. MMMU-Pro

    Multimodal
    Source ↗
    A 94%B 83%
    Winner: GPT-5.4 ProΔ 11
    MMMU-Pro: GPT-5.4 Pro scored 94%; GPT-5.6 Sol scored 83%. GPT-5.4 Pro wins this benchmark.

  4. BrowseComp

    Agentic
    Source ↗
    A 89.3%B 92.2%
    Winner: GPT-5.6 SolΔ 2.9
    BrowseComp: GPT-5.4 Pro scored 89.3%; GPT-5.6 Sol scored 92.2%. GPT-5.6 Sol wins this benchmark.

Operational comparison

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

MetricGPT-5.4 ProGPT-5.6 SolComparison
Input / output priceUSD per 1M tokensGPT-5.4 Pro$30 input / $180 outputGPT-5.6 Sol$5 input / $30 outputGPT-5.6 Sol has the lower combined listed price.
Generation speedtokens per secondGPT-5.4 Pro74 tok/sGPT-5.6 SolNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4 Pro151.79 sGPT-5.6 SolNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.4 Pro1.05MGPT-5.6 Sol1MGPT-5.4 Pro lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.6 Sol wins
BenchmarkGPT-5.4 ProGPT-5.6 SolResult
BrowseCompSource 89.3%92.2%GPT-5.6 Sol leads
Terminal-Bench 2.0Source —91.9%Not comparable
OSWorld 2.0Source —62.6%Not comparable
CyberGymSource —84.5%Not comparable
ExploitGymSource —33.7%Not comparable
ToolathlonSource —58%Not comparable
AA Agentic IndexSource —54.0%Not comparable
τ²-bench resultsSource —85.1%Not comparable
GDPval-AASource —61.8%Not comparable
GDPval-AASource —1736Not comparable
AA BriefcaseSource —1501Not comparable
AA ITBenchSource —56.2%Not comparable
AA Tau3 BankingSource —33.0%Not comparable
AA AutomationBenchSource —51.2%Not comparable
AA Harvey LABSource —87.2%Not comparable
terminalBenchHardSource —65.9%Not comparable
aaTerminalBench21Source —88%Not comparable
Coding
BenchmarkGPT-5.4 ProGPT-5.6 SolResult
SWE-bench ProSource —64.6%Not comparable
Terminal-Bench 2.0Source —91.9%Not comparable
deepSweSource —72.7%Not comparable
FrontierCode 1.1 ExtendedSource —60.6%Not comparable
cursorBench32Source —67.2%Not comparable
VulcanBench v3Source —87.0%Not comparable
AA Coding IndexSource —77.4%Not comparable
AA-SciCodeSource —56.1%Not comparable
Reasoning
BenchmarkGPT-5.4 ProGPT-5.6 SolResult
ARC-AGI-2Source 83.3%—Not comparable
CritPtSource 30.0%32.3%GPT-5.6 Sol leads
ARC-AGI-3Source —7.8%Not comparable
GeneBench-ProSource —28.7%Not comparable
AA-LCRSource —73.7%Not comparable
KnowledgeGPT-5.6 Sol wins
BenchmarkGPT-5.4 ProGPT-5.6 SolResult
HLESource 58.7%—Not comparable
FrontierScienceSource 36.7%—Not comparable
FrontierScience ResearchSource 36.7%—Not comparable
HLE w/o toolsSource 42.7%—Not comparable
GPQASource —94.6%Not comparable
GPQA-DSource —94.6%Not comparable
HealthBench ProfessionalSource —60.5%Not comparable
HealthBench HardSource —33.1%Not comparable
Artificial Analysis Intelligence IndexSource —58.9%Not comparable
AA-GPQA DiamondSource —94.1%Not comparable
AA-HLESource —47.2%Not comparable
AA-Omniscience IndexSource —21.7%Not comparable
AA-Omniscience AccuracySource —58.5%Not comparable
AA-Omniscience Hallucination RateSource —88.8%Not comparable
MathGPT-5.6 Sol wins
BenchmarkGPT-5.4 ProGPT-5.6 SolResult
IPhO 2025 (Theory)Source 93.5%—Not comparable
FrontierMath (legacy)Source 50%89%GPT-5.6 Sol leads
FrontierMath v2 (Tiers 1-3)Source 50.000%89.000%GPT-5.6 Sol leads
FrontierMath v2 (Tier 4)Source 37.500%83.000%GPT-5.6 Sol leads
MultimodalGPT-5.4 Pro wins
BenchmarkGPT-5.4 ProGPT-5.6 SolResult
MMMU-ProSource 94%83%GPT-5.4 Pro leads
MMMU-Pro w/ PythonSource —84.6%Not comparable
AA-MMMU-ProSource —83.4%Not comparable
Inst. Following
BenchmarkGPT-5.4 ProGPT-5.6 SolResult
AA-IFBenchSource —72.7%Not comparable
Frequently Asked Questions (5)

Which is better, GPT-5.4 Pro or GPT-5.6 Sol?

GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 60.89. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 37.500% and 83.000%.

Which is better for knowledge tasks, GPT-5.4 Pro or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 58.7. GPT-5.4 Pro stays close enough that the answer can still flip depending on your workload.

Which is better for math, GPT-5.4 Pro or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 46.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.4 Pro or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 89.3. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, GPT-5.4 Pro or GPT-5.6 Sol?

GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94 versus 83. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.

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