Skip to main content
BenchLM
Advertise

Model comparison

Gemini 3.5 Flash vs GPT-5.6 Sol

Data verified

Head-to-head evidence from 28 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

64.75/100
Margin
17.2pts
winning →
81.96/100
1 category wins4 category wins

Public leaderboard positions: Gemini 3.5 Flash #33 (Estimated); GPT-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.5 Flash and GPT-5.6 Sol share 28 comparable benchmark results. 5 of 8 categories are comparable. 18 results are unique to Gemini 3.5 Flash; 18 to GPT-5.6 Sol.

Updated July 23, 2026
Shared results
28
Gemini 3.5 Flash only
18
GPT-5.6 Sol only
18
Comparable categories
5 / 8

Pick GPT-5.6 Sol if you want the stronger benchmark profile. Gemini 3.5 Flash only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 28 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 is clearly ahead on the BenchAlign aggregate, 81.96 to 64.75. 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 32.9. The single biggest benchmark swing on the page is FrontierMath v2 (Tier 4), 14.583% to 83.000%. Gemini 3.5 Flash does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.

GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $1.50 input / $9.00 output per 1M tokens for Gemini 3.5 Flash. That is roughly 3.3x 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 Gemini 3.5 Flash and GPT-5.6 Sol
CategoryGemini 3.5 FlashΔGPT-5.6 Sol
MathGemini 3.5 Flash32.9Margin→ 54.6GPT-5.6 Sol87.5
KnowledgeGemini 3.5 Flash47.2Margin→ 47.4GPT-5.6 Sol94.6
AgenticGemini 3.5 Flash77.2Margin→ 14.8GPT-5.6 Sol92.0
CodingGemini 3.5 Flash53.9Margin→ 10.7GPT-5.6 Sol64.6
MultimodalGemini 3.5 Flash83.8Margin← 0.8GPT-5.6 Sol83.0
ReasoningGemini 3.5 Flash74.7MarginNo overlapGPT-5.6 SolNot measured
Inst. FollowingGemini 3.5 Flash76.3MarginNo overlapGPT-5.6 SolNot measured

Decisive benchmark drivers

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

More
A · Gemini 3.5 FlashB · GPT-5.6 Sol

  1. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 14.583%B 83.000%
    Winner: GPT-5.6 SolΔ 68.4
    FrontierMath v2 (Tier 4): Gemini 3.5 Flash scored 14.583%; GPT-5.6 Sol scored 83.000%. GPT-5.6 Sol wins this benchmark.

  2. FrontierMath v2 (Tiers 1-3)

    Math
    Source ↗
    A 38.966%B 89.000%
    Winner: GPT-5.6 SolΔ 50
    FrontierMath v2 (Tiers 1-3): Gemini 3.5 Flash scored 38.966%; GPT-5.6 Sol scored 89.000%. GPT-5.6 Sol wins this benchmark.

  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 76.2%B 91.9%
    Winner: GPT-5.6 SolΔ 15.7
    Terminal-Bench 2.0: Gemini 3.5 Flash scored 76.2%; GPT-5.6 Sol scored 91.9%. GPT-5.6 Sol wins this benchmark.

  4. SWE-bench Pro

    Coding
    Source ↗
    A 55.1%B 64.6%
    Winner: GPT-5.6 SolΔ 9.5
    SWE-bench Pro: Gemini 3.5 Flash scored 55.1%; GPT-5.6 Sol scored 64.6%. GPT-5.6 Sol wins this benchmark.

  5. GPQA

    Knowledge
    Source ↗
    A 92.2%B 94.6%
    Winner: GPT-5.6 SolΔ 2.4
    GPQA: Gemini 3.5 Flash scored 92.2%; GPT-5.6 Sol scored 94.6%. GPT-5.6 Sol wins this benchmark.

Operational comparison

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

MetricGemini 3.5 FlashGPT-5.6 SolComparison
Input / output priceUSD per 1M tokensGemini 3.5 Flash$1.5 input / $9 outputGPT-5.6 Sol$5 input / $30 outputGemini 3.5 Flash has the lower combined listed price.
Generation speedtokens per secondGemini 3.5 Flash284.2 tok/sGPT-5.6 SolNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 3.5 Flash18.55 sGPT-5.6 SolNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 3.5 Flash1MGPT-5.6 Sol1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.6 Sol wins
BenchmarkGemini 3.5 FlashGPT-5.6 SolResult
Terminal-Bench 2.0Source 76.2%91.9%GPT-5.6 Sol leads
MCP AtlasSource 83.6%—Not comparable
ToolathlonSource 56.5%58%GPT-5.6 Sol leads
OSWorld-VerifiedSource 78.4%—Not comparable
Finance Agent v2Source 57.9%—Not comparable
GDPval-AASource 13491736GPT-5.6 Sol leads
τ²-bench resultsSource 95.3%85.1%Gemini 3.5 Flash leads
GDPval-AASource 42.4%61.8%GPT-5.6 Sol leads
AA Agentic IndexSource 37.5%54.0%GPT-5.6 Sol leads
APEX-Agents-AASource 47.1%—Not comparable
Gert LabsSource 61.85%—Not comparable
ResearchClawBenchSource 18.0%—Not comparable
AA AutomationBenchSource 42.6%51.2%GPT-5.6 Sol leads
AA EnterpriseOps-GymSource 50.1%—Not comparable
terminalBenchHardSource 40.9%65.9%GPT-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 Harvey LABSource —87.2%Not comparable
aaTerminalBench21Source —88%Not comparable
CodingGPT-5.6 Sol wins
BenchmarkGemini 3.5 FlashGPT-5.6 SolResult
Terminal-Bench 2.0Source 76.2%91.9%GPT-5.6 Sol leads
SWE-bench ProSource 55.1%64.6%GPT-5.6 Sol leads
SciCodeSource 53.1%—Not comparable
Vibe Code BenchSource 48.68%—Not comparable
cursorBench31Source 49.8%—Not comparable
cursorBench32Source 48.8%67.2%GPT-5.6 Sol leads
AA Coding IndexSource 70.1%77.4%GPT-5.6 Sol leads
AA-SciCodeSource 53.1%56.1%GPT-5.6 Sol leads
deepSweSource —72.7%Not comparable
FrontierCode 1.1 ExtendedSource —60.6%Not comparable
VulcanBench v3Source —87.0%Not comparable
Reasoning
BenchmarkGemini 3.5 FlashGPT-5.6 SolResult
MRCRv2Source 77.3%—Not comparable
MRCR 1MSource 26.6%—Not comparable
ARC-AGI-2Source 72.1%—Not comparable
AA-LCRSource 69.3%73.7%GPT-5.6 Sol leads
CritPtSource 13.1%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
BenchmarkGemini 3.5 FlashGPT-5.6 SolResult
Artificial Analysis Intelligence IndexSource 50.2%58.9%GPT-5.6 Sol leads
GPQASource 92.2%94.6%GPT-5.6 Sol leads
GPQA-DSource 92.7%94.6%GPT-5.6 Sol leads
HLESource 40.2%—Not comparable
AA-Omniscience AccuracySource 51.9%58.5%GPT-5.6 Sol leads
AA-Omniscience Hallucination RateSource 60.7%88.8%Gemini 3.5 Flash leads
AA-GPQA DiamondSource 92.2%94.1%GPT-5.6 Sol leads
AA-HLESource 41.0%47.2%GPT-5.6 Sol leads
AA-Omniscience IndexSource 22.7%21.7%Gemini 3.5 Flash leads
HealthBench ProfessionalSource —60.5%Not comparable
HealthBench HardSource —33.1%Not comparable
MathGPT-5.6 Sol wins
BenchmarkGemini 3.5 FlashGPT-5.6 SolResult
FrontierMath v2 (Tiers 1-3)Source 38.966%89.000%GPT-5.6 Sol leads
FrontierMath v2 (Tier 4)Source 14.583%83.000%GPT-5.6 Sol leads
FrontierMath (legacy)Source —89%Not comparable
MultimodalGemini 3.5 Flash wins
BenchmarkGemini 3.5 FlashGPT-5.6 SolResult
CharXivSource 84.2%—Not comparable
MMMU-ProSource 83.6%83%Gemini 3.5 Flash leads
Blueprint-Bench 2Source 33.6%—Not comparable
AA-MMMU-ProSource 84.3%83.4%Gemini 3.5 Flash leads
Design Arena WebsiteSource 1285—Not comparable
MMMU-Pro w/ PythonSource —84.6%Not comparable
Inst. Following
BenchmarkGemini 3.5 FlashGPT-5.6 SolResult
IFBenchSource 76.3%—Not comparable
AA-IFBenchSource 76.3%72.7%Gemini 3.5 Flash leads
Frequently Asked Questions (6)

Which is better, Gemini 3.5 Flash or GPT-5.6 Sol?

GPT-5.6 Sol is ahead on BenchLM's BenchAlign leaderboard, 81.96 to 64.75. The biggest single separator in this matchup is FrontierMath v2 (Tier 4), where the scores are 14.583% and 83.000%.

Which is better for knowledge tasks, Gemini 3.5 Flash or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for knowledge tasks in this comparison, averaging 94.6 versus 47.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Gemini 3.5 Flash or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for coding in this comparison, averaging 64.6 versus 53.9. Inside this category, cursorBench32 is the benchmark that creates the most daylight between them.

Which is better for math, Gemini 3.5 Flash or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for math in this comparison, averaging 87.5 versus 32.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Gemini 3.5 Flash or GPT-5.6 Sol?

GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 77.2. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Gemini 3.5 Flash or GPT-5.6 Sol?

Gemini 3.5 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 83.8 versus 83. Inside this category, AA-MMMU-Pro is the benchmark that creates the most daylight between them.

Related Comparisons

Explore More

Google Compare Pricing Methodology Find Your Best LLM Overall Rankings
Last updated: July 23, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.