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Model comparison

GPT-5.6 Sol vs GPT-5.6 Terra

Data verified

Head-to-head evidence from 43 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Sibling matchup inside the GPT-5.6 family.

81.96/100
Margin
9.4pts
← winning
72.57/100
5 category wins0 category wins

Public leaderboard positions: GPT-5.6 Sol #3 (Supported); GPT-5.6 Terra #11 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.6 Sol and GPT-5.6 Terra share 43 comparable benchmark results. 5 of 8 categories are comparable. 3 results are unique to GPT-5.6 Sol; 1 to GPT-5.6 Terra.

Updated July 23, 2026
Shared results
43
GPT-5.6 Sol only
3
GPT-5.6 Terra only
1
Comparable categories
5 / 8

GPT-5.6 Sol makes more sense if mathematics is the priority, while GPT-5.6 Terra is the cleaner fit if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 43 shared benchmark results across 7 evidence categories; 5 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 and GPT-5.6 Terra sit in the same GPT-5.6 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.

GPT-5.6 Sol is clearly ahead on the BenchAlign aggregate, 81.96 to 72.57. 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 80.8. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 83.000% to 68.300%.

GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $2.50 input / $15.00 output per 1M tokens for GPT-5.6 Terra. That is roughly 2.0x on output cost alone.

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-5.6 Sol and GPT-5.6 Terra
CategoryGPT-5.6 SolΔGPT-5.6 Terra
MathGPT-5.6 Sol87.5Margin← 6.7GPT-5.6 Terra80.8
AgenticGPT-5.6 Sol92.0Margin← 4.6GPT-5.6 Terra87.4
MultimodalGPT-5.6 Sol83.0Margin← 2.3GPT-5.6 Terra80.7
KnowledgeGPT-5.6 Sol94.6Margin← 1.7GPT-5.6 Terra92.9
CodingGPT-5.6 Sol64.6Margin← 1.2GPT-5.6 Terra63.4

Decisive benchmark drivers

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

More
A · GPT-5.6 SolB · GPT-5.6 Terra

  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 83.000%B 68.300%
    Winner: GPT-5.6 SolΔ 14.7
    FrontierMath v2 (Tier 4): GPT-5.6 Sol scored 83.000%; GPT-5.6 Terra scored 68.300%. GPT-5.6 Sol wins this benchmark.

  2. BrowseComp

    Agentic
    Source ↗
    A 92.2%B 87.5%
    Winner: GPT-5.6 SolΔ 4.7
    BrowseComp: GPT-5.6 Sol scored 92.2%; GPT-5.6 Terra scored 87.5%. GPT-5.6 Sol wins this benchmark.

  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 91.9%B 87.4%
    Winner: GPT-5.6 SolΔ 4.5
    Terminal-Bench 2.0: GPT-5.6 Sol scored 91.9%; GPT-5.6 Terra scored 87.4%. GPT-5.6 Sol wins this benchmark.

  4. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 89.000%B 84.900%
    Winner: GPT-5.6 SolΔ 4.1
    FrontierMath v2 (Tiers 1-3): GPT-5.6 Sol scored 89.000%; GPT-5.6 Terra scored 84.900%. GPT-5.6 Sol wins this benchmark.

  5. MMMU-Pro

    Multimodal
    Source ↗
    A 83%B 80.7%
    Winner: GPT-5.6 SolΔ 2.3
    MMMU-Pro: GPT-5.6 Sol scored 83%; GPT-5.6 Terra scored 80.7%. 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-5.6 SolGPT-5.6 TerraComparison
Input / output priceUSD per 1M tokensGPT-5.6 Sol$5 input / $30 outputGPT-5.6 Terra$2.5 input / $15 outputGPT-5.6 Terra has the lower combined listed price.
Generation speedtokens per secondGPT-5.6 SolNot availableGPT-5.6 TerraNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.6 SolNot availableGPT-5.6 TerraNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.6 Sol1MGPT-5.6 Terra1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolGPT-5.6 TerraResult
Terminal-Bench 2.0Source 91.9%87.4%GPT-5.6 Sol leads
BrowseCompSource 92.2%87.5%GPT-5.6 Sol leads
OSWorld 2.0Source 62.6%50.2%GPT-5.6 Sol leads
CyberGymSource 84.5%81.8%GPT-5.6 Sol leads
ExploitGymSource 33.7%23.2%GPT-5.6 Sol leads
ToolathlonSource 58%53.1%GPT-5.6 Sol leads
AA Agentic IndexSource 54.0%47.4%GPT-5.6 Sol leads
τ²-bench resultsSource 85.1%86.3%GPT-5.6 Terra leads
GDPval-AASource 61.8%54.1%GPT-5.6 Sol leads
GDPval-AASource 17361581GPT-5.6 Sol leads
AA BriefcaseSource 1501—Not comparable
AA ITBenchSource 56.2%51.0%GPT-5.6 Sol leads
AA Tau3 BankingSource 33.0%31.8%GPT-5.6 Sol leads
AA AutomationBenchSource 51.2%45.6%GPT-5.6 Sol leads
AA Harvey LABSource 87.2%85.2%GPT-5.6 Sol leads
terminalBenchHardSource 65.9%57.6%GPT-5.6 Sol leads
aaTerminalBench21Source 88%88%Tie
APEX-Agents-AASource —38.9%Not comparable
CodingGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolGPT-5.6 TerraResult
SWE-bench ProSource 64.6%63.4%GPT-5.6 Sol leads
Terminal-Bench 2.0Source 91.9%87.4%GPT-5.6 Sol leads
deepSweSource 72.7%69.6%GPT-5.6 Sol leads
FrontierCode 1.1 ExtendedSource 60.6%55.8%GPT-5.6 Sol leads
cursorBench32Source 67.2%64.9%GPT-5.6 Sol leads
VulcanBench v3Source 87.0%—Not comparable
AA Coding IndexSource 77.4%76.7%GPT-5.6 Sol leads
AA-SciCodeSource 56.1%53.9%GPT-5.6 Sol leads
Reasoning
BenchmarkGPT-5.6 SolGPT-5.6 TerraResult
ARC-AGI-3Source 7.8%0.8%GPT-5.6 Sol leads
GeneBench-ProSource 28.7%—Not comparable
AA-LCRSource 73.7%74.0%GPT-5.6 Terra leads
CritPtSource 32.3%30.0%GPT-5.6 Sol leads
KnowledgeGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolGPT-5.6 TerraResult
GPQASource 94.6%92.9%GPT-5.6 Sol leads
GPQA-DSource 94.6%92.9%GPT-5.6 Sol leads
HealthBench ProfessionalSource 60.5%57.7%GPT-5.6 Sol leads
HealthBench HardSource 33.1%32.7%GPT-5.6 Sol leads
Artificial Analysis Intelligence IndexSource 58.9%55.0%GPT-5.6 Sol leads
AA-GPQA DiamondSource 94.1%92.5%GPT-5.6 Sol leads
AA-HLESource 47.2%41.8%GPT-5.6 Sol leads
AA-Omniscience IndexSource 21.7%-0.2%GPT-5.6 Sol leads
AA-Omniscience AccuracySource 58.5%45.9%GPT-5.6 Sol leads
AA-Omniscience Hallucination RateSource 88.8%85.2%GPT-5.6 Terra leads
MathGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolGPT-5.6 TerraResult
FrontierMath (legacy)Source 89%84.9%GPT-5.6 Sol leads
FrontierMath v2 (Tiers 1-3)Source 89.000%84.900%GPT-5.6 Sol leads
FrontierMath v2 (Tier 4)Source 83.000%68.300%GPT-5.6 Sol leads
MultimodalGPT-5.6 Sol wins
BenchmarkGPT-5.6 SolGPT-5.6 TerraResult
MMMU-ProSource 83%80.7%GPT-5.6 Sol leads
MMMU-Pro w/ PythonSource 84.6%82%GPT-5.6 Sol leads
AA-MMMU-ProSource 83.4%80.7%GPT-5.6 Sol leads
Inst. Following
BenchmarkGPT-5.6 SolGPT-5.6 TerraResult
AA-IFBenchSource 72.7%71.2%GPT-5.6 Sol leads
Frequently Asked Questions (6)

Which is better, GPT-5.6 Sol or GPT-5.6 Terra?

GPT-5.6 Sol and GPT-5.6 Terra are sibling variants in the GPT-5.6 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard 81.96 to 72.57.

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

GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 92.9. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.6 Sol or GPT-5.6 Terra?

GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 63.4. Inside this category, FrontierCode 1.1 Extended is the benchmark that creates the most daylight between them.

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

GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 80.8. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

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

GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 87.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

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

GPT-5.6 Sol has the edge for multimodal and grounded tasks in this comparison, averaging 83 versus 80.7. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.

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