Is Gemini 3.8 Flash better than GPT-6 Sol?

Gemini 3.8 Flash (high) and GPT-6 Sol (max) are neck and neck on quality (61.8 vs 62.9, within the ±4.9 margin). The BenchLeader Index combines every independent quality benchmark; the two are within the margin of error as of 9 Nov 2026, so check the category scores for your use.

Gemini 3.8 Flash vs GPT-6 Sol: which is cheaper, and will that change?

Gemini 3.8 Flash is cheaper today: $1.50 against $4.00 per million tokens, blended at three input tokens per output token. Gemini 3.8 Flash's current price runs until 31 Dec 2026, then $3.00.

Is Gemini 3.8 Flash or GPT-6 Sol better for coding?

GPT-6 Sol scores higher in coding (67 vs 60 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1584 for Gemini 3.8 Flash against 1674 for GPT-6 Sol.

Which is faster, Gemini 3.8 Flash or GPT-6 Sol?

GPT-6 Sol streams faster (121 vs 112 output tokens per second, Artificial Analysis 7-day median).

Is Gemini 3.8 Flash or GPT-6 Sol better for agents and tool use?

GPT-6 Sol scores higher in agentic tasks (60 vs 51 on the category index, where 50 is average). On Terminal-Bench, the top shared agents & tools benchmark, it is 18.2% for Gemini 3.8 Flash against 50.3% for GPT-6 Sol.

Which is better for long documents?

GPT-6 Sol scores higher on long-context benchmarks (67 vs 65). Both take about 1.1M tokens: Gemini 3.8 Flash 1,048,576, GPT-6 Sol 1,050,000.

Which has lower latency?

Gemini 3.8 Flash answers first: 17.5 s against 72.1 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.

When was GPT-6 Sol released?

GPT-6 Sol was released on 22 Sep 2026.

Gemini 3.8 Flash vs GPT-6 Sol

Full profiles: Gemini 3.8 Flash (Google) and GPT-6 Sol (OpenAI): every benchmark, price and rank.

Updated 9 Nov 2026 · Data from 12 sources

As of 9 Nov 2026, Gemini 3.8 Flash and GPT-6 Sol are neck and neck on quality (61.8 vs 62.9 on the BenchLeader Index, inside the ±4.9 margin), and Gemini 3.8 Flash is 2.7× cheaper at $1.50 vs $4.00 per 1M tokens blended. Choose Gemini 3.8 Flash for multimodal (68 vs 61), human preference (69 vs 64), and knowledge (64 vs 62) and fast first answers (17.5 s vs 72.1 s); choose GPT-6 Sol for agents & tools (60 vs 51), maths (69 vs 62), and coding (67 vs 60). Gemini 3.8 Flash's current price runs until 31 Dec 2026, then $3.00.

Key facts (as of 9 Nov 2026)

Gemini 3.8 Flash scores 61.8 on the BenchLeader Index and GPT-6 Sol scores 62.9 (BenchLeader, 9 Nov 2026).
Gemini 3.8 Flash costs $1.50 per 1M tokens blended until 31 Dec 2026, then $3.00 (https://ai.google.dev/gemini-api/docs/pricing, checked 20 Oct 2026).
GPT-6 Sol costs $4.00 per 1M tokens blended (list price, 9 Nov 2026).
Of the 78 benchmarks both models have, GPT-6 Sol leads 47 (BenchLeader, 9 Nov 2026).
On Arena WebDev, Gemini 3.8 Flash is rated 1584 and GPT-6 Sol 1674 (LMArena, as published by 9 Nov 2026).

Gemini 3.8 Flash benchmarks high Google

GPT-6 Sol benchmarks max OpenAI Add a third model

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 case	Pick	Why	Confidence
Coding	GPT-6 Sol	67 vs 60 category score; Arena WebDev 1674 vs 1584	Medium
Agents & tool use	GPT-6 Sol	60 vs 51 category score; Terminal-Bench 50.3% vs 18.2%	High
Maths	GPT-6 Sol	69 vs 62 category score; FrontierMath Tiers 1–3 89.8% vs 68.4%	Medium
Reasoning	GPT-6 Sol	66 vs 63 category score; HLE-Diamond (AA) 45.2% vs 33.1%	Medium
Knowledge	Gemini 3.8 Flash	64 vs 62 category score; SimpleQA Verified 69.7% vs 60.7%	Medium
Long documents	GPT-6 Sol	67 vs 65 category score; AA-LCR v1.1 83.7% vs 81.3%	Medium
Images and other media	Gemini 3.8 Flash	68 vs 61 category score; Arena Vision 1317 vs 1232	Medium
Chat quality (human preference)	Gemini 3.8 Flash	69 vs 64 on Arena votes	Medium
Lowest cost	Gemini 3.8 Flash	$1.50 vs $4.00 per 1M blended; agentic coding session $0.060 vs $0.160; from 1 Jan 2027: $3.00 vs $4.00	–
Fastest first answer	Gemini 3.8 Flash	17.5 s (Gemini 3.8 Flash (high)) vs 72.1 s (GPT-6 Sol (max)) to the first answer token	–
High volume on a budget	Neither flagship	A smaller model is usually the better fit: Cheapest good LLMs, Fastest LLMs	–

Key differences

Gemini 3.8 Flash (high) and GPT-6 Sol (max) are neck and neck on quality (61.8 vs 62.9, within the ±4.9 margin).
Gemini 3.8 Flash (high) is stronger in human preference, knowledge, multimodal.
GPT-6 Sol (max) is stronger in agents & tools, coding, long context, maths, reasoning.
Gemini 3.8 Flash (high) is 2.7× cheaper ($1.50 vs $4.00 per 1M blended) until 31 Dec 2026, then $3.00 vs $4.00 from 1 Jan 2027.

At a glance

Spec	Gemini 3.8 Flash	GPT-6 Sol
Developer	Google	OpenAI
Released	2 Sep 2026	22 Sep 2026
Context window (tokens)	1,048,576	1,050,000
Compared at	Gemini 3.8 Flash (high)	GPT-6 Sol (max)
Open weights	No	No
Price in / out / cached input per 1M	$0.750 / $3.75 / $0.075	$2.00 / $10.00 / $0.200
Announced price change	$1.50 / $7.50 from 1 Jan 2027	None announced

Limits, availability and announced prices from the vendors' own pages: ai.google.dev pricing (checked 20 Oct 2026). Everything else is from the day's data.

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.

Category	Gemini 3.8 Flash (high)	GPT-6 Sol (max)	Leader
Reasoning	63.2	66.2	GPT-6 Sol
Coding	60.2	66.5	GPT-6 Sol
Agents & tools	51.0	59.6	GPT-6 Sol
Maths	61.9	68.5	GPT-6 Sol
Knowledge	64.3	61.5	Gemini 3.8 Flash
Human preference	69.2	64.2	Gemini 3.8 Flash
Multimodal	67.5	60.7	Gemini 3.8 Flash
Long context	65.4	66.6	GPT-6 Sol

On one chart

Each domain on the index's own scale, where 50 is an average model. Click a domain to see the benchmarks behind it. Pick up to 5 models from the list.

Not drawn, measured for fewer than two of these models: Instruction following.

ModelIndex

Where sources disagree

Across the 78 benchmarks both have, Gemini 3.8 Flash leads 31, GPT-6 Sol leads 47. Independent sources split: Gemini 3.8 Flash leads on Arena Text; GPT-6 Sol leads on AA Intelligence Index v5.0.

Overall index	Gemini 3.8 Flash (high)	GPT-6 Sol (max)	Leader
BenchLeader Index	61.8	62.9	neck and neck
AA Intelligence Index v5.0	30.9	44.2	GPT-6 Sol
Arena Text	1498	1457	Gemini 3.8 Flash

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. Cost, tokens and time per benchmark task are measured: Artificial Analysis’ averages over its whole Intelligence Index run.

Measure	Gemini 3.8 Flash (high)	GPT-6 Sol (max)
Blended price per 1M tokens, until 31 Dec 2026	$1.50	$4.00
Input / output per 1M	$0.750 / $3.75	$2.00 / $10.00
Blended price per 1M from 1 Jan 2027	$3.00	$4.00
Input / output per 1M from 1 Jan 2027	$1.50 / $7.50	$2.00 / $10.00
Cached input per 1M	$0.075	$0.200
Price per task: chat reply	$0.0014	$0.0038
Price per task: summarize a 30-page report	$0.011	$0.030
Price per task: code edit	$0.010	$0.027
Price per task: agentic coding session	$0.060	$0.160
Price per task: structured extraction	$0.0023	$0.0060
Agentic coding session, input mostly cached	$0.030	$0.079
Cost per benchmark task (AA Index)	$7.77	$2.47
Output tokens per task (AA Index)	99k	54k
Of which reasoning	60k	35k
Time per task (AA Index)	15 min	7 min
Output speed	112 tok/s	121 tok/s
Time to first answer	17.5 s	72.1 s
Time to a complete answer	52.0 s	130.2 s

Per token is not per task: an average task of Artificial Analysis' Intelligence Index cost $7.77 on Gemini 3.8 Flash (high) and $2.47 on GPT-6 Sol (max), and Gemini 3.8 Flash (high) wrote 1.8× as many output tokens for the same work, which a per-token price hides.

Each model is compared at its best-ranked reasoning-effort setting. Gemini 3.8 Flash (high) scores 61.8 and takes 18 s to its first answer token; Gemini 3.8 Flash (medium) scores 60.3 in 11 s, Gemini 3.8 Flash (low) scores 55.9 in 4 s. GPT-6 Sol (max) scores 62.9 and takes 72 s to its first answer token; GPT-6 Sol (xhigh) scores 58.6 in 24 s, GPT-6 Sol (high) scores 58.2 in 9 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

151 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.

Metric	Publisher	Gemini 3.8 Flash (high)	GPT-6 Sol (max)
BenchLeader Index	BenchLeader	61.8	62.9
Agents & tools score	BenchLeader	51.0	59.6
Coding score	BenchLeader	60.2	66.5
Human preference score	BenchLeader	69.2	64.2
Knowledge score	BenchLeader	64.3	61.5
Long context score	BenchLeader	65.4	66.6
Maths score	BenchLeader	61.9	68.5
Multimodal score	BenchLeader	67.5	60.7
Reasoning score	BenchLeader	63.2	66.2
Blended price $/M	BenchLeader	$1.50	$4.00
Output speed	BenchLeader	112 tok/s	121 tok/s
Time to first answer	BenchLeader	17.5 s	72.1 s
Context window	BenchLeader	1,048,576 tokens	1,050,000 tokens
Reasoning
GPQA Diamond	Epoch AI Benchmarking Hub	95.4%	94.3%
Humanity's Last Exam	Scale AI / CAIS	44.5%†	–
Arena Hard Prompts	Arena (LMArena)	1519	1483
LiveBench 2.0 Reasoning	LiveBench	89.3%†	–
LiveBench 1.0 Reasoning	LiveBench	89.3%	88.7%
GPQA Diamond (AA)	Artificial Analysis	95.3%	–
Humanity's Last Exam (AA)	Artificial Analysis	47.8%	47.9%
HLE-Diamond (AA)	Artificial Analysis	33.1%	45.2%
GPQA Diamond (Vals)	Vals AI	94.4%	–
ARC-AGI-1	ARC Prize	98.5%	95.5%
ARC-AGI-2	ARC Prize	89.2%	89.6%
ARC-AGI-3	ARC Prize	35.0%	23.0%
CritPt	Artificial Analysis	18.3%	30.9%
CritPt v2 hard subset (AA)	Artificial Analysis	46.5%	66.5%
MysteryMechanism	Vals AI	36.5%	30.2%
Chess Puzzles	Epoch AI Benchmarking Hub	58.0%	56.0%
Mystery Game Puzzles	Epoch AI Benchmarking Hub	47.0%	56.0%
LMCA	Epoch AI Benchmarking Hub	51.5%†	59.1%
DTBench	Epoch AI Benchmarking Hub	95.7%†	97.3%
Coding
SciCode	SciCode	56.6%	57.6%
WeirdML	WeirdML	84.8%	–
FrontierCode	Cognition	41.2%†	49.3%
Arena Coding	Arena (LMArena)	1530	1520
Arena WebDev	Arena (LMArena)	1584	1674
LiveBench 2.0 Coding	LiveBench	65.7%†	–

Show all 151 benchmarks

Metric	Publisher	Gemini 3.8 Flash (high)	GPT-6 Sol (max)
Coding
LiveBench 1.0 Coding	LiveBench	72.5%	81.8%
LiveCodeBench	Vals AI	89.5%	–
IOI	Vals AI	56.9%	82.6%
SWE-bench (Vals)	Vals AI	80.0%	–
Code Migration	Vals AI	36.5%	57.2%
Code Migration v1.1	Vals AI	38.6%	–
ProgramBench	Vals AI	1.0%	2.0%
SWE-bench Multimodal	Vals AI	40.8%	–
Vibe Code Bench 1-100	Vals AI	18.8%	–
Vibe Code Bench v1.1	Vals AI	78.7%	87.8%
SWE Atlas: Codebase QnA	Scale AI SEAL	47.0%†	–
SWE Atlas: Refactoring	Scale AI SEAL	44.8%†	–
SWE Atlas: Test Writing	Scale AI SEAL	53.7%†	–
Surface Evolver Bench	Epoch AI Benchmarking Hub	76.9%	–
DeepSWE v1.1	Epoch AI Benchmarking Hub	73.8%	–
CursorBench	Cursor	39.6%	–
ALE-Bench	Epoch AI Benchmarking Hub	1269.7	2462
FrontierSWE	Epoch AI Benchmarking Hub	19.6%	–
Terminal-Bench 4.0 (AA)	Artificial Analysis	19.7%	43.9%
Terminal-Bench 2.1 (AA)	Artificial Analysis	87.6%	–
Startrise Frontend	Startrise	64.6%†	–
GameBench 2 Overall	DuelLab GameBench 2	59.0†	72.9†
GameBench 2 by reasoning setting	DuelLab GameBench 2	64.2	79.3†
Design Arena Website	Design Arena	1297†	1285†
FrontierCode 1.1 (AA)	Artificial Analysis	36.4%	–
FrontierCode 2.0 (AA)	Artificial Analysis	18.7%	35.6%
Agents & tools
Terminal-Bench	Terminal-Bench	18.2%	50.3%
Remote Labor Index	Scale AI / CAIS	5.8%†	–
APEX-Agents	Mercor	64.3%†	54.3%
Arena Agent	Arena (LMArena)	2.4	7
LiveBench Long Agentic	LiveBench	16.5%†	–
LiveBench Browser	LiveBench	45.1%†	–
LiveBench Agentic Coding	LiveBench	54.2%	52.9%
Terminal-Bench 2.1 (Vals)	Vals AI	81.3%	83.2%
HiL-Bench	Scale AI SEAL	41.5%†	–
GDPval-AA v2.1, normalised score	Artificial Analysis	46.8%	–
GDPval-AA v2.1	Artificial Analysis	1445	–
τ³-Banking (AA)	Artificial Analysis	45.0%	–
ITBench SRE (AA)	Artificial Analysis	52.5%	49.4%
Analyst Agent (AA)	Artificial Analysis	46.3%	–
CUA-bench	Vals AI	4.2%	–
CyberBench	Vals AI	43.8%	78.0%
Finance Agent v2	Vals AI	61.4%	49.0%
Finance Agent v2.1	Vals AI	65.8%	–
Harvey's Legal Agent Benchmark v1.1	Vals AI	12.1%	–
Harvey's Legal Agent Benchmark v1	Vals AI	10.0%	1.7%
Legal Research Bench	Vals AI	38.9%	28.9%
SkillsBench	Vals AI	58.0%	–
SREBench	Vals AI	11.1%	30.5%
Tax Agent Bench	Vals AI	32.1%	15.0%
Terminal-Bench 4.0 (Vals)	Vals AI	19.7%	44.4%
Terminal-Bench Science	Vals AI	8.6%	30.0%
Time Horizon Index: KSP	Vals AI	18.8%	–
Arena Search	Arena (LMArena)	–	1229
Vending-Bench 2	Andon Labs	5093.8†	14427.9†
AutomationBench	Artificial Analysis	59.9%	61.6%
GDP.pdf (AA)	Artificial Analysis	21.0%	25.2%
Harvey LAB-AA v1.1	Harvey	0.0%	3.6%
AA-Briefcase v1.1	Artificial Analysis	1203	1476
Design Arena Agentic	Design Arena	1220†	1212†
Terminal-Bench-Science 0.1 (AA)	Artificial Analysis	10.0%	30.0%
CWE-Bench (AA)	Artificial Analysis	52.5%	64.2%
DeepSec-Bench (AA)	Artificial Analysis	14.5%	46.3%
CyberGym end-to-end (AA)	Artificial Analysis	8.4%	0.0%
FACTS Search	Google	80.4%†	–
Maths
FrontierMath Tiers 1–3	Epoch AI Benchmarking Hub	68.4%	89.8%
FrontierMath Tier 4	Epoch AI Benchmarking Hub	21.9%	90.0%
OTIS Mock AIME	Epoch AI Benchmarking Hub	98.9%	100.0%
ProofBench	Vals AI	48.0%†	83.0%†
LiveBench Mathematics	LiveBench	91.6%	96.4%
Arena Maths	Arena (LMArena)	1519	1440
Knowledge
SimpleQA Verified	Epoch AI Benchmarking Hub	69.7%	60.7%
LiveBench 2.0 Data Analysis	LiveBench	54.0%†	–
LiveBench Research	LiveBench	79.4%†	–
LiveBench 1.0 Data Analysis	LiveBench	54.0%	81.2%
AA-Omniscience v1.1	Artificial Analysis	23.3	21.4
MMLU-Pro	Vals AI	90.2%	–
LegalBench	Vals AI	87.0%	–
TaxEval	Vals AI	74.5%	–
PRBench Finance	Scale AI SEAL	49.5%†	–
PRBench Legal	Scale AI SEAL	48.9%†	38.6%†
BioMysteryBench	Vals AI	62.2%	74.8%
Excel Modeling Benchmark	Vals AI	72.2%	71.5%
Excel Modeling Benchmark v1.1	Vals AI	72.9%	–
MedCode	Vals AI	48.1%	47.1%
MedScribe	Vals AI	84.5%	82.0%
Public Benefits Bench v1.1	Vals AI	65.3%	56.6%
EBR-bench	Epoch AI Benchmarking Hub	–	53.3%
GDP.pdf	Epoch AI Benchmarking Hub	23.2%	26.4%
AA-Omniscience v1.1: accuracy	Artificial Analysis	50.5%	51.1%
AA-Omniscience v1.1: non-hallucination	Artificial Analysis	44.9%	39.1%
HealthBench Professional (AA)	OpenAI	51.7%	62.3%
Instruction following
LiveBench Language	LiveBench	87.8%	85.3%
LiveBench Instruction Following	LiveBench	81.4%	68.6%
Arena Instruction Following	Arena (LMArena)	1492	1448
Human preference
Arena Text	Arena (LMArena)	1498	1457
Arena Creative Writing	Arena (LMArena)	1489	1430
Arena Multi-turn	Arena (LMArena)	1505	1466
Arena Longer Queries	Arena (LMArena)	1512	1466
Multimodal
Arena Vision	Arena (LMArena)	1317	1232
LiveBench Design	LiveBench	69.7%†	–
MMMU-Pro	Artificial Analysis	85.6%	83.0%
MMMU-Pro (Vals)	Vals AI	89.1%	–
MortgageTax	Vals AI	65.3%	–
SAGE	Vals AI	88.2%	–
AudioMC	Scale AI SEAL	60.4%	–
AudioMC (text output)	Scale AI SEAL	60.4%	–
Blueprint-Bench 2	Epoch AI Benchmarking Hub	38.6%†	36.9%†
Code2Video-AA	Artificial Analysis	899	–
AA-3D	Artificial Analysis	974	1131
Long context
AA-LCR v1.1	Artificial Analysis	81.3%	83.7%
Arena Document	Arena (LMArena)	1469	–
MLCR	Artificial Analysis	10.6%	33.9%
Composite
Epoch Capabilities Index	Epoch AI Benchmarking Hub	158.6†	164.1†
LiveBench 2.0	LiveBench	56.0%†	–
LiveBench 1.0	LiveBench	75.8%	79.3%
AA Intelligence Index v5.0	Artificial Analysis	30.9	44.2
AA Intelligence Index v4.3.2	Artificial Analysis	40.9	47.6
AA Progress Index v1	Artificial Analysis	320.3	334
Vals Index	Vals AI	56.0	–
Vals Finance Index	Vals AI	60.5%	–
Vals RSI Index	Vals AI	19.9%	28.1%
Vals Science Index	Vals AI	35.8%	45.0%
Vals Router Index	Vals AI	56.0%†	–
AA Cyber Index	Artificial Analysis	25.1	36.8
Safety & honesty
FORTRESS	Scale AI SEAL	–	13.5%†

Data as of 2026-11-09. Best configuration of each model; every score links to its source on the model pages.

DuelLab GameBench 2, release gb2-20261103-eaea31df94e6 (https://benchmarks.duellab.org/releases/gb2-20261103-eaea31df94e6/), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Scores mapped to BenchLeader model names; not endorsed by DuelLab.

What changed

1 Jan 2027 Gemini 3.8 Flash: list price moves to $1.50 / $7.50 per 1M input / output tokens (announced).
9 Nov 2026 GPT-6 Sol (max): BenchLeader Index 63.5 → 62.9.
9 Nov 2026 Gemini 3.8 Flash (high): 2 score revisions.
9 Nov 2026 GPT-6 Sol (max): 2 score revisions.
8 Nov 2026 Gemini 3.8 Flash (high): 1 new result (Arena Document); 1 score revision.
8 Nov 2026 GPT-6 Sol (max): 1 score revision.
5 Nov 2026 GPT-6 Sol (max): 1 score revision.
4 Nov 2026 Gemini 3.8 Flash (high): 2 score revisions.
4 Nov 2026 GPT-6 Sol (max): 6 new results (AA Intelligence Index v5.0, AA-Omniscience v1.1, CritPt v2 hard subset (AA)…).
3 Nov 2026 GPT-6 Sol (max): 1 score revision.

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