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Model comparison

GPT-5.4 mini vs GPT-5.6 Sol

Data verified

Head-to-head evidence from 23 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

56.77/100
Margin
25.2pts
winning →
81.96/100
0 category wins4 category wins

Public leaderboard positions: GPT-5.4 mini #75 (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 mini and GPT-5.6 Sol share 23 comparable benchmark results. 4 of 8 categories are comparable. 7 results are unique to GPT-5.4 mini; 23 to GPT-5.6 Sol.

Updated July 23, 2026
Shared results
23
GPT-5.4 mini only
7
GPT-5.6 Sol only
23
Comparable categories
4 / 8

Pick GPT-5.6 Sol if you want the stronger benchmark profile. GPT-5.4 mini only becomes the better choice if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 23 shared benchmark results across 7 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 56.77. 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 21.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 2.080% to 83.000%.

GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.75 input / $4.50 output per 1M tokens for GPT-5.4 mini. That is roughly 6.7x on output cost alone. GPT-5.6 Sol gives you the larger context window at 1M, compared with 400K for GPT-5.4 mini.

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 mini and GPT-5.6 Sol
CategoryGPT-5.4 miniΔGPT-5.6 Sol
MathGPT-5.4 mini21.7Margin→ 65.8GPT-5.6 Sol87.5
KnowledgeGPT-5.4 mini47.8Margin→ 46.8GPT-5.6 Sol94.6
AgenticGPT-5.4 mini65.7Margin→ 26.3GPT-5.6 Sol92.0
MultimodalGPT-5.4 mini76.6Margin→ 6.4GPT-5.6 Sol83.0
CodingGPT-5.4 miniNot measuredMarginNo overlapGPT-5.6 Sol64.6

Decisive benchmark drivers

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

More
A · GPT-5.4 miniB · GPT-5.6 Sol

  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 2.080%B 83.000%
    Winner: GPT-5.6 SolΔ 80.9
    FrontierMath v2 (Tier 4): GPT-5.4 mini scored 2.080%; GPT-5.6 Sol scored 83.000%. GPT-5.6 Sol wins this benchmark.

  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 28.280%B 89.000%
    Winner: GPT-5.6 SolΔ 60.7
    FrontierMath v2 (Tiers 1-3): GPT-5.4 mini scored 28.280%; GPT-5.6 Sol scored 89.000%. GPT-5.6 Sol wins this benchmark.

  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 60%B 91.9%
    Winner: GPT-5.6 SolΔ 31.9
    Terminal-Bench 2.0: GPT-5.4 mini scored 60%; GPT-5.6 Sol scored 91.9%. GPT-5.6 Sol wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 88%B 94.6%
    Winner: GPT-5.6 SolΔ 6.6
    GPQA: GPT-5.4 mini scored 88%; GPT-5.6 Sol scored 94.6%. GPT-5.6 Sol wins this benchmark.

  5. MMMU-Pro

    Multimodal
    Source ↗
    A 76.6%B 83%
    Winner: GPT-5.6 SolΔ 6.4
    MMMU-Pro: GPT-5.4 mini scored 76.6%; GPT-5.6 Sol scored 83%. 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 miniGPT-5.6 SolComparison
Input / output priceUSD per 1M tokensGPT-5.4 mini$0.75 input / $4.5 outputGPT-5.6 Sol$5 input / $30 outputGPT-5.4 mini has the lower combined listed price.
Generation speedtokens per secondGPT-5.4 mini201 tok/sGPT-5.6 SolNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4 mini3.85 sGPT-5.6 SolNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.4 mini400KGPT-5.6 Sol1MGPT-5.6 Sol lists the larger context window.

Benchmark Deep Dive

AgenticGPT-5.6 Sol wins
BenchmarkGPT-5.4 miniGPT-5.6 SolResult
Terminal-Bench 2.0Source 60%91.9%GPT-5.6 Sol leads
OSWorld-VerifiedSource 72.1%—Not comparable
MCP AtlasSource 57.7%—Not comparable
ToolathlonSource 42.9%58%GPT-5.6 Sol leads
τ²-bench resultsSource 83.3%85.1%GPT-5.6 Sol leads
AA Agentic IndexSource 30.2%54.0%GPT-5.6 Sol leads
APEX-Agents-AASource 28.2%—Not comparable
GDPval-AASource 33.6%61.8%GPT-5.6 Sol leads
GDPval-AASource 11711736GPT-5.6 Sol leads
BrowseCompSource —92.2%Not comparable
OSWorld 2.0Source —62.6%Not comparable
CyberGymSource —84.5%Not comparable
ExploitGymSource —33.7%Not 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 miniGPT-5.6 SolResult
Vibe Code BenchSource 47.97%—Not comparable
AA Coding IndexSource 56.1%77.4%GPT-5.6 Sol leads
AA-SciCodeSource 49.9%56.1%GPT-5.6 Sol leads
FrontierCode 1.1 MainSource 27.0%—Not comparable
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
Reasoning
BenchmarkGPT-5.4 miniGPT-5.6 SolResult
AA-LCRSource 69.3%73.7%GPT-5.6 Sol leads
CritPtSource 10.0%32.3%GPT-5.6 Sol leads
ARC-AGI-3Source —7.8%Not comparable
GeneBench-ProSource —28.7%Not comparable
KnowledgeGPT-5.6 Sol wins
BenchmarkGPT-5.4 miniGPT-5.6 SolResult
GPQASource 88%94.6%GPT-5.6 Sol leads
HLESource 41.5%—Not comparable
HLE w/o toolsSource 28.2%—Not comparable
Artificial Analysis Intelligence IndexSource 40.0%58.9%GPT-5.6 Sol leads
AA-GPQA DiamondSource 87.5%94.1%GPT-5.6 Sol leads
AA-HLESource 26.6%47.2%GPT-5.6 Sol leads
AA-Omniscience IndexSource -18.7%21.7%GPT-5.6 Sol leads
AA-Omniscience AccuracySource 37.5%58.5%GPT-5.6 Sol leads
AA-Omniscience Hallucination RateSource 89.8%88.8%GPT-5.6 Sol leads
GPQA-DSource —94.6%Not comparable
HealthBench ProfessionalSource —60.5%Not comparable
HealthBench HardSource —33.1%Not comparable
MathGPT-5.6 Sol wins
BenchmarkGPT-5.4 miniGPT-5.6 SolResult
FrontierMath v2 (Tiers 1-3)Source 28.280%89.000%GPT-5.6 Sol leads
FrontierMath v2 (Tier 4)Source 2.080%83.000%GPT-5.6 Sol leads
FrontierMath (legacy)Source —89%Not comparable
MultimodalGPT-5.6 Sol wins
BenchmarkGPT-5.4 miniGPT-5.6 SolResult
MMMU-ProSource 76.6%83%GPT-5.6 Sol leads
MMMU-Pro w/ PythonSource 78%84.6%GPT-5.6 Sol leads
AA-MMMU-ProSource 73.3%83.4%GPT-5.6 Sol leads
Inst. Following
BenchmarkGPT-5.4 miniGPT-5.6 SolResult
AA-IFBenchSource 73.3%72.7%GPT-5.4 mini leads
Frequently Asked Questions (5)

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

GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 56.77. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 2.080% and 83.000%.

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

GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 47.8. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

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

GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 21.7. 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 mini or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 65.7. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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

GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 76.6. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.

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