Is Gemini 3.8 Flash better than Grok 4.7?

Gemini 3.8 Flash (high) leads on quality: 62.0 vs 58.3. The BenchLeader Index combines every independent quality benchmark; Gemini 3.8 Flash (high) is ahead overall as of 6 Nov 2026, but check the category scores for your use.

Gemini 3.8 Flash vs Grok 4.7: which is cheaper, and will that change?

Gemini 3.8 Flash is cheaper today: $1.50 against $3.00 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 Grok 4.7 better for coding?

Grok 4.7 scores higher in coding (62 vs 60 on the category index, where 50 is average). On Arena WebDev, the top shared coding benchmark, it is 1583 for Gemini 3.8 Flash against 1638 for Grok 4.7.

Which is faster, Gemini 3.8 Flash or Grok 4.7?

Gemini 3.8 Flash streams ~1.5× faster (115 vs 71 output tokens per second, Artificial Analysis 7-day median).

Is Gemini 3.8 Flash or Grok 4.7 better for agents and tool use?

Grok 4.7 scores higher in agentic tasks (57 vs 51 on the category index, where 50 is average). On Terminal-Bench, the top shared agents & tools benchmark, it is 19.1% for Gemini 3.8 Flash against 37.6% for Grok 4.7.

Which is better for long documents?

Gemini 3.8 Flash scores higher on long-context benchmarks (66 vs 63). Gemini 3.8 Flash accepts more context: 1,048,576 against 500,000 tokens for Grok 4.7.

Which has lower latency?

Gemini 3.8 Flash answers first: 21.6 s against 55.1 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 Grok 4.7 released?

Grok 4.7 was released on 21 Sep 2026.

Gemini 3.8 Flash vs Grok 4.7

Full profiles: Gemini 3.8 Flash (Google) and Grok 4.7 (SpaceXAI): every benchmark, price and rank.

Updated 6 Nov 2026 · Data from 13 sources

As of 6 Nov 2026, Gemini 3.8 Flash is ahead of Grok 4.7 on quality (62.0 vs 58.3 on the BenchLeader Index), and Gemini 3.8 Flash is 2.0× cheaper at $1.50 vs $3.00 per 1M tokens blended. Choose Gemini 3.8 Flash for multimodal (67 vs 56), reasoning (64 vs 56), and human preference (69 vs 62) and fast first answers (21.6 s vs 55.1 s), where it also streams ~1.5× faster; choose Grok 4.7 for agents & tools (57 vs 51) and coding (62 vs 60). Gemini 3.8 Flash's current price runs until 31 Dec 2026, then $3.00.

Key facts (as of 6 Nov 2026)

Gemini 3.8 Flash scores 62.0 on the BenchLeader Index and Grok 4.7 scores 58.3 (BenchLeader, 6 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).
Grok 4.7 costs $3.00 per 1M tokens blended (list price, 6 Nov 2026).
Gemini 3.8 Flash streams ~1.5× faster than Grok 4.7 (Artificial Analysis, 7-day median, 6 Nov 2026).
Of the 92 benchmarks both models have, Grok 4.7 leads 49 (BenchLeader, 6 Nov 2026).
On Arena WebDev, Gemini 3.8 Flash is rated 1583 and Grok 4.7 1638 (LMArena, as published by 6 Nov 2026).

Gemini 3.8 Flash benchmarks high Google

Grok 4.7 benchmarks xhigh SpaceXAI 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	Grok 4.7	62 vs 60 category score; Arena WebDev 1638 vs 1583	Medium
Agents & tool use	Grok 4.7	57 vs 51 category score; Terminal-Bench 37.6% vs 19.1%	Medium
Maths	Gemini 3.8 Flash	62 vs 56 category score; FrontierMath Tiers 1–3 68.4% vs 53.0%	Medium
Reasoning	Gemini 3.8 Flash	64 vs 56 category score; GPQA Diamond 95.4% vs 92.7%	High
Knowledge	Gemini 3.8 Flash	65 vs 61 category score; SimpleQA Verified 69.7% vs 56.0%	Medium
Long documents	Gemini 3.8 Flash	66 vs 63 category score; AA-LCR v1.1 81.3% vs 76.7%	Medium
Images and other media	Gemini 3.8 Flash	67 vs 56 category score; Arena Vision 1315 vs 1231	High
Chat quality (human preference)	Gemini 3.8 Flash	69 vs 62 on Arena votes	Medium
Lowest cost	Gemini 3.8 Flash (until 31 Dec 2026)	$1.50 vs $3.00 per 1M blended; agentic coding session $0.060 vs $0.144; from 1 Jan 2027: $3.00 vs $3.00	–
Fastest first answer	Gemini 3.8 Flash	21.6 s (Gemini 3.8 Flash (high)) vs 55.1 s (Grok 4.7 (xhigh)) 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) leads on quality: 62.0 vs 58.3.
Gemini 3.8 Flash (high) is stronger in human preference, knowledge, long context, maths, multimodal, reasoning.
Grok 4.7 (xhigh) is stronger in agents & tools, coding.
Gemini 3.8 Flash (high) is 2.0× cheaper ($1.50 vs $3.00 per 1M blended) until 31 Dec 2026, then $3.00 vs $3.00 from 1 Jan 2027.
Gemini 3.8 Flash (high) streams 1.6× faster (115 vs 71 tokens per second).

At a glance

Spec	Gemini 3.8 Flash	Grok 4.7
Developer	Google	SpaceXAI
Released	2 Sep 2026	21 Sep 2026
Context window (tokens)	1,048,576	500,000
Compared at	Gemini 3.8 Flash (high)	Grok 4.7 (xhigh)
Open weights	No	No
Price in / out / cached input per 1M	$0.750 / $3.75 / $0.075	$2.00 / $6.00 / $0.500
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)	Grok 4.7 (xhigh)	Leader
Reasoning	64.0	56.4	Gemini 3.8 Flash
Coding	60.3	61.5	Grok 4.7
Agents & tools	51.1	56.9	Grok 4.7
Maths	62.1	55.9	Gemini 3.8 Flash
Knowledge	64.7	61.1	Gemini 3.8 Flash
Human preference	69.0	62.3	Gemini 3.8 Flash
Multimodal	67.4	55.7	Gemini 3.8 Flash
Long context	65.5	63.1	Gemini 3.8 Flash

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 92 benchmarks both have, Gemini 3.8 Flash leads 43, Grok 4.7 leads 49. Independent sources split: Gemini 3.8 Flash leads on BenchLeader Index and Arena Text; Grok 4.7 leads on AA Intelligence Index v5.0 and Vals Index.

Overall index	Gemini 3.8 Flash (high)	Grok 4.7 (xhigh)	Leader
BenchLeader Index	62.0	58.3	Gemini 3.8 Flash
AA Intelligence Index v5.0	30.9	35.5	Grok 4.7
Vals Index	56.0	58.6	Grok 4.7
Arena Text	1496	1441	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)	Grok 4.7 (xhigh)
Blended price per 1M tokens, until 31 Dec 2026	$1.50	$3.00
Input / output per 1M	$0.750 / $3.75	$2.00 / $6.00
Blended price per 1M from 1 Jan 2027	$3.00	$3.00
Input / output per 1M from 1 Jan 2027	$1.50 / $7.50	$2.00 / $6.00
Cached input per 1M	$0.075	$0.500
Price per task: chat reply	$0.0014	$0.0026
Price per task: summarize a 30-page report	$0.011	$0.028
Price per task: code edit	$0.010	$0.021
Price per task: agentic coding session	$0.060	$0.144
Price per task: structured extraction	$0.0023	$0.0052
Agentic coding session, input mostly cached	$0.030	$0.076
Cost per benchmark task (AA Index)	$7.77	$7.77
Output tokens per task (AA Index)	99k	105k
Of which reasoning	60k	69k
Time per task (AA Index)	14 min	24 min
Output speed	115 tok/s	71 tok/s
Time to first answer	21.6 s	55.1 s
Time to a complete answer	76.8 s	147.2 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 $7.77 on Grok 4.7 (xhigh), and Grok 4.7 (xhigh) wrote 1.1× as many output tokens for the same work.

Each model is compared at its best-ranked reasoning-effort setting. Gemini 3.8 Flash (high) scores 62.0 and takes 22 s to its first answer token; Gemini 3.8 Flash (medium) scores 60.7 in 8 s, Gemini 3.8 Flash (low) scores 56.2 in 2 s. Grok 4.7 (xhigh) scores 58.3 and takes 55 s to its first answer token; Grok 4.7 (high) scores 57.7 in 31 s, Grok 4.7 (low) scores 56.0 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

147 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)	Grok 4.7 (xhigh)
BenchLeader Index	BenchLeader	62.0	58.3
Agents & tools score	BenchLeader	51.1	56.9
Coding score	BenchLeader	60.3	61.5
Human preference score	BenchLeader	69.0	62.3
Knowledge score	BenchLeader	64.7	61.1
Long context score	BenchLeader	65.5	63.1
Maths score	BenchLeader	62.1	55.9
Multimodal score	BenchLeader	67.4	55.7
Reasoning score	BenchLeader	64.0	56.4
Blended price $/M	BenchLeader	$1.50	$3.00
Output speed	BenchLeader	115 tok/s	71 tok/s
Time to first answer	BenchLeader	21.6 s	55.1 s
Context window	BenchLeader	1,048,576 tokens	500,000 tokens
Reasoning
GPQA Diamond	Epoch AI Benchmarking Hub	95.4%	92.7%
Humanity's Last Exam	Scale AI / CAIS	44.5%†	–
Arena Hard Prompts	Arena (LMArena)	1517	1463
LiveBench 2.0 Reasoning	LiveBench	89.3%†	82.7%†
LiveBench 1.0 Reasoning	LiveBench	89.3%	82.7%
GPQA Diamond (AA)	Artificial Analysis	95.3%	–
Humanity's Last Exam (AA)	Artificial Analysis	47.8%	43.1%
HLE-Diamond (AA)	Artificial Analysis	33.1%	23.2%
GPQA Diamond (Vals)	Vals AI	94.4%	–
ARC-AGI-1	ARC Prize	98.5%	89.5%
ARC-AGI-2	ARC Prize	89.2%	61.4%
ARC-AGI-3	ARC Prize	35.0%	7.0%
CritPt	Artificial Analysis	18.3%	17.7%
CritPt v2 hard subset (AA)	Artificial Analysis	46.5%	33.5%
MysteryMechanism	Vals AI	36.5%	25.2%
Chess Puzzles	Epoch AI Benchmarking Hub	58.0%	41.0%
Mystery Game Puzzles	Epoch AI Benchmarking Hub	47.0%	29.0%
LMCA	Epoch AI Benchmarking Hub	51.5%†	49.4%
DTBench	Epoch AI Benchmarking Hub	95.7%†	96.0%
Coding
SciCode	SciCode	56.6%	57.4%
WeirdML	WeirdML	84.8%	–
FrontierCode	Cognition	41.2%†	47.6%†
Arena Coding	Arena (LMArena)	1530	1494
Arena WebDev	Arena (LMArena)	1583	1638
LiveBench 2.0 Coding	LiveBench	82.2%†	84.5%†

Show all 147 benchmarks

Metric	Publisher	Gemini 3.8 Flash (high)	Grok 4.7 (xhigh)
Coding
LiveBench 1.0 Coding	LiveBench	72.5%	77.2%
LiveCodeBench	Vals AI	89.5%	–
IOI	Vals AI	56.9%	57.7%
SWE-bench (Vals)	Vals AI	80.0%	–
Code Migration	Vals AI	36.5%	44.8%
Code Migration v1.1	Vals AI	38.6%	53.2%
ProgramBench	Vals AI	1.0%	0.5%
SWE-bench Multimodal	Vals AI	40.8%	42.9%
Vibe Code Bench 1-100	Vals AI	18.8%	–
Vibe Code Bench v1.1	Vals AI	78.7%	86.2%
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%	46.3%
ALE-Bench	Epoch AI Benchmarking Hub	1269.7	–
FrontierSWE	Epoch AI Benchmarking Hub	19.6%	29.5%
Terminal-Bench 4.0 (AA)	Artificial Analysis	19.7%	25.8%
Terminal-Bench 2.1 (AA)	Artificial Analysis	87.6%	–
Startrise Frontend	Startrise	64.6%†	75.9%†
GameBench 2 Overall	DuelLab GameBench 2	59.0†	63.4†
GameBench 2 by reasoning setting	DuelLab GameBench 2	64.2	71.5
FrontierCode 1.1 (AA)	Artificial Analysis	36.4%	33.8%
FrontierCode 2.0 (AA)	Artificial Analysis	18.7%	28.7%
Agents & tools
Terminal-Bench	Terminal-Bench	19.1%	37.6%
Remote Labor Index	Scale AI / CAIS	5.8%†	–
APEX-Agents	Mercor	64.3%†	54.6%†
Arena Agent	Arena (LMArena)	2.6	2.7
LiveBench Long Agentic	LiveBench	16.5%†	46.1%†
LiveBench Browser	LiveBench	45.1%†	49.3%†
LiveBench Agentic Coding	LiveBench	54.2%	54.0%
Terminal-Bench 2.1 (Vals)	Vals AI	81.3%	73.4%
HiL-Bench	Scale AI SEAL	41.5%†	–
GDPval-AA v2.1, normalised score	Artificial Analysis	46.8%	60.7%
GDPval-AA v2.1	Artificial Analysis	1445	1718
τ³-Banking (AA)	Artificial Analysis	45.0%	–
ITBench SRE (AA)	Artificial Analysis	52.5%	42.1%
Analyst Agent (AA)	Artificial Analysis	46.3%	52.5%
CUA-bench	Vals AI	4.2%	–
CyberBench	Vals AI	43.8%	69.5%
Finance Agent v2	Vals AI	61.4%	52.3%
Finance Agent v2.1	Vals AI	65.8%	60.6%
Harvey's Legal Agent Benchmark v1.1	Vals AI	12.1%	18.3%
Harvey's Legal Agent Benchmark v1	Vals AI	10.0%	12.5%
Legal Research Bench	Vals AI	38.9%	47.1%
Robo-bench	Vals AI	–	0.2%
SkillsBench	Vals AI	58.0%	–
SREBench	Vals AI	11.1%	3.8%
Tax Agent Bench	Vals AI	32.1%	34.2%
Terminal-Bench 4.0 (Vals)	Vals AI	19.7%	28.8%
Terminal-Bench Science	Vals AI	8.6%	10.0%
Time Horizon Index: KSP	Vals AI	18.8%	–
Vending-Bench 2	Andon Labs	5093.8†	10536.8†
AutomationBench	Artificial Analysis	59.9%	65.6%
GDP.pdf (AA)	Artificial Analysis	21.0%	20.0%
Harvey LAB-AA v1.1	Harvey	0.0%	9.4%
AA-Briefcase v1.1	Artificial Analysis	1203	1637
GDPx	GDPx by SemiAnalysis	–	3.9%
Terminal-Bench-Science 0.1 (AA)	Artificial Analysis	10.0%	11.4%
CWE-Bench (AA)	Artificial Analysis	52.5%	68.3%
DeepSec-Bench (AA)	Artificial Analysis	14.5%	26.9%
CyberGym end-to-end (AA)	Artificial Analysis	8.4%	74.0%
FACTS Search	Google	80.4%†	–
Maths
FrontierMath Tiers 1–3	Epoch AI Benchmarking Hub	68.4%	53.0%
FrontierMath Tier 4	Epoch AI Benchmarking Hub	21.9%	17.1%
OTIS Mock AIME	Epoch AI Benchmarking Hub	98.9%	98.1%
ProofBench	Vals AI	48.0%†	26.0%†
LiveBench Mathematics	LiveBench	91.6%	95.7%
Arena Maths	Arena (LMArena)	1524	1443
Knowledge
SimpleQA Verified	Epoch AI Benchmarking Hub	69.7%	56.0%
LiveBench 2.0 Data Analysis	LiveBench	54.0%†	76.9%†
LiveBench Research	LiveBench	79.1%†	86.4%†
LiveBench 1.0 Data Analysis	LiveBench	54.0%	76.9%
AA-Omniscience v1.1	Artificial Analysis	23.3	31.2
MMLU-Pro	Vals AI	90.2%	–
LegalBench	Vals AI	87.0%	84.4%
TaxEval	Vals AI	74.5%	–
PRBench Finance	Scale AI SEAL	49.5%†	–
PRBench Legal	Scale AI SEAL	48.9%†	47.6%
BioMysteryBench	Vals AI	62.2%	69.3%
Excel Modeling Benchmark	Vals AI	72.2%	67.0%
Excel Modeling Benchmark v1.1	Vals AI	72.9%	71.5%
MedCode	Vals AI	48.1%	49.5%
MedScribe	Vals AI	84.5%	89.4%
Public Benefits Bench v1.1	Vals AI	65.3%	65.6%
GDP.pdf	Epoch AI Benchmarking Hub	23.2%	22.8%
AA-Omniscience v1.1: accuracy	Artificial Analysis	50.5%	42.7%
AA-Omniscience v1.1: non-hallucination	Artificial Analysis	44.9%	80.0%
HealthBench Professional (AA)	OpenAI	51.7%	55.8%
Instruction following
LiveBench Language	LiveBench	87.8%	80.1%
LiveBench Instruction Following	LiveBench	81.4%	75.3%
Arena Instruction Following	Arena (LMArena)	1491	1438
Human preference
Arena Text	Arena (LMArena)	1496	1441
Arena Creative Writing	Arena (LMArena)	1487	1419
Arena Multi-turn	Arena (LMArena)	1505	1432
Arena Longer Queries	Arena (LMArena)	1512	1452
Multimodal
Arena Vision	Arena (LMArena)	1315	1231
LiveBench Design	LiveBench	72.7%†	78.0%†
MMMU-Pro	Artificial Analysis	85.6%	78.2%†
MMMU-Pro (Vals)	Vals AI	89.1%	–
MortgageTax	Vals AI	65.3%	–
SAGE	Vals AI	88.2%	88.7%
AudioMC	Scale AI SEAL	60.4%	–
AudioMC (text output)	Scale AI SEAL	60.4%	–
Blueprint-Bench 2	Epoch AI Benchmarking Hub	38.6%†	32.5%†
Code2Video-AA	Artificial Analysis	899	1127
AA-3D	Artificial Analysis	966	995
Long context
AA-LCR v1.1	Artificial Analysis	81.3%	76.7%
MLCR	Artificial Analysis	10.6%	20.0%
Composite
Epoch Capabilities Index	Epoch AI Benchmarking Hub	158.6†	156.1†
LiveBench 2.0	LiveBench	59.2%†	70.1%†
LiveBench 1.0	LiveBench	75.8%	77.4%
AA Intelligence Index v5.0	Artificial Analysis	30.9	35.5
AA Intelligence Index v4.3.2	Artificial Analysis	40.9	46.5
AA Progress Index v1	Artificial Analysis	320.3	322.7
Vals Index	Vals AI	56.0	58.6
Vals Finance Index	Vals AI	60.5%	58.5%
Vals RSI Index	Vals AI	19.9%	20.2%
Vals Science Index	Vals AI	35.8%	34.8%
Vals Router Index	Vals AI	56.0%†	58.6%†
AA Cyber Index	Artificial Analysis	25.1	56.4

Data as of 2026-11-06. Best configuration of each model; every score links to its source on the model pages.

DuelLab GameBench 2, release gb2-20261103-09b2218cbd85 (https://benchmarks.duellab.org/releases/gb2-20261103-09b2218cbd85/), 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).
4 Nov 2026 Gemini 3.8 Flash (high): 2 score revisions.
4 Nov 2026 Grok 4.7 (xhigh): 2 score revisions.
3 Nov 2026 Grok 4.7 (xhigh): 2 score revisions.
31 Oct 2026 Gemini 3.8 Flash (high): 1 new result (MirrorCode).
29 Oct 2026 Gemini 3.8 Flash (high): 1 score revision.
29 Oct 2026 Grok 4.7 (xhigh): 1 score revision.
28 Oct 2026 Gemini 3.8 Flash (high): BenchLeader Index 63.3 → 61.8.
28 Oct 2026 Grok 4.7 (xhigh): BenchLeader Index 59.5 → 58.0.
28 Oct 2026 Gemini 3.8 Flash (high): 5 new results (AA Intelligence Index v5.0, AA Progress Index v1, HLE-Diamond (AA)…); 3 score revisions; cost per task moved from $3.49/M to $7.77/M (123% up).

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