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Home/Grok 4.6 vs Gemini 3.7 Flash
Winner: Grok 4.6xAI vs Google

Grok 4.6 vs Gemini 3.7 Flash

Gemini 3.7 Flash wins on coding (89 vs 86) and price ($0.75 vs $2/1M input) and context window (1.048576M vs 500K). For most workflows, Grok 4.6 is the stronger default — finishes agent tasks in half the turns — cheap where it counts.

Last verified Aug 27, 2026/Model data modified Aug 27, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
xAIBalanced
Input cost
$2.00/1M
Context
500k tokens
Speed
Fast

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

Grok 4.6

View
Why this recommendation

Grok 4.6 is the safest overall answer here when you want the strongest default instead of the lowest list price.

xAIBalanced
Best for
Long-running agents and multi-step codebase work
Price
$2.00/1M
Context
500k tokens
Best budget model

Mistral: Mistral Nemo

View
Why this recommendation

Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.

MistralBudget
Best for
Teams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale.
Price
$0.02/1M
Context
131k tokens
Best for speed

Gemini 3.7 Flash

View
Why this recommendation

Gemini 3.7 Flash is the better pick when response speed matters more than maximum reasoning depth.

GoogleBalanced
Best for
High-volume coding and long-context work at introductory Flash pricing
Price
$0.75/1M
Context
1.0M tokens

Why this page recommends it

Gemini 3.7 Flash leads on coding with a score of 89 vs 86 for Grok 4.6.

Gemini 3.7 Flash has the larger context window: 1.048576M vs 500K for Grok 4.6.

Gemini 3.7 Flash is cheaper at $0.75/1M input tokens vs $2/1M for Grok 4.6.

Decision notes

Grok 4.6 is the safer default: it is built for long-running agents and multi-step codebase work, which covers most of what people bring to this comparison.

Switch to Gemini 3.7 Flash when your work is mostly high-volume coding and long-context work at introductory Flash pricing; on that narrower brief it is the better tool.

Gemini 3.7 Flash is the more cost-efficient option at $0.75/1M input — Grok 4.6 costs 3x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1Gemini 3.7 Flash85 pts
#2Grok 4.682 pts
Quality first

Gemini 3.7 Flash

Google / Balanced / Aug 27, 2026

85

80.8% SWE-bench Verified at introductory Flash pricing.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$0.75/1M
$3.75/1M out
Speed
Fast
4/5 score
Context
1.0M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You are planning 2027 spend and need price certainty — the introductory rate expires December 31, 2026.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

xAIBalancedWinner: Grok 4.6

Grok 4.6

Finishes agent tasks in half the turns — cheap where it counts.

Best use case
Long-running agents and multi-step codebase work
Input
$2.00/1M
Pricing
Balanced
Speed
Fast
Context
500k tokens
AgenticReasoningTurn-efficient
GoogleBalancedOption 2

Gemini 3.7 Flash

80.8% SWE-bench Verified at introductory Flash pricing.

Best use case
High-volume coding and long-context work at introductory Flash pricing
Input
$0.75/1M
Pricing
Balanced
Speed
Fast
Context
1.0M tokens
Coding1M contextFast

Side-by-side specs

Every figure below is the provider's list price or a published capability score — the same numbers the recommendation on this page is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Grok 4.6xAI$2.00/1M$6.00/1M$32500k tokensFast868488
Gemini 3.7 FlashGoogle$0.75/1M$3.75/1M$151.0M tokensFast898285

Capability scores are out of 100 and reflect our own weighting of published benchmarks and production signals — see how we evaluate models. “Est. month” assumes 10M input and 2M output tokens at list price, with no batch or caching discounts applied, so treat it as a ceiling.

The case for each model

What each one is genuinely good at, where it falls down, and the situations we would steer you away from it — not just the headline score.

Grok 4.6

Winner: Grok 4.6xAI

xAI's long-horizon agent model — it finishes agentic tasks in roughly half the turns of its rivals, which makes it cheaper in practice than its per-token price suggests.

Input
$2.00/1M
Output
$6.00/1M
Context
500k tokens
Speed
Fast

What people actually use it for

  • Long-horizon research agents that work a topic across many sequential steps
  • Working through an unfamiliar codebase over an extended agent session
  • Interactive and visual work where turn count drives the real bill

Where it wins

  • Roughly half the turns of competing models on agent tasks — real cost per completed task lands well below the sticker price
  • 88.4% on Terminal-Bench 2.1 and 87.0% on VulcanBench v3
  • Artificial Analysis Intelligence Index of 61, 4th overall and within reach of Claude Opus 5

Where it falls down

  • No published SWE-bench Verified or SWE-bench Pro figure, so it cannot be compared directly on the standard coding leaderboard
  • GPT-5.6 Sol Max beats it on DeepSWE v1.1 and Terminal-Bench 3.0
  • Prompts of 200K tokens or more are billed at $4/$12 across the entire request, not just the overage

Skip it if

You need a published SWE-bench score to justify the pick, or your prompts routinely cross 200K tokens where the price doubles.

Our verdict

Buy it for turn efficiency, not for benchmark ceilings. On long agent runs, finishing in half the turns beats a model that scores two points higher and takes twice as many round trips.

Released August 12, 2026, succeeding Grok 4.5. Long-context billing is a cliff, not a ramp: at 200K tokens and above the whole request is charged at $4/$12. DeepSWE 65.9%, CursorBench 3.2 70.8%, FrontierCode 1.1 Extended 61.3%, Terminal-Bench 3.0 26.5%, APEX-Agents 57.5%.

Gemini 3.7 Flash

Google

Google's fastest-moving coding workhorse — 80.8% on SWE-bench Verified at half the price of Gemini 3.6 Flash, shipped just three weeks after it.

Input
$0.75/1M
Output
$3.75/1M
Context
1.0M tokens
Speed
Fast

What people actually use it for

  • Bulk code review and refactoring where 80.8% SWE-bench Verified is enough and volume matters
  • 1M-context document and repository analysis at $0.75/1M input
  • Agentic loops that need frontier-adjacent coding quality without frontier pricing

Where it wins

  • 80.8% on SWE-bench Verified — frontier-class coding from a Flash-tier model
  • Large jumps over 3.6 Flash on software engineering: FrontierCode 34.4% to 43.6%, DeepSWE 49.0% to 65.3%
  • Artificial Analysis Intelligence Index of 56 at high thinking level, with a 1M token context window

Where it falls down

  • The $0.75/$3.75 launch price is introductory — it doubles to $1.50/$7.50 on January 1, 2027
  • Still short of Claude Opus 5 (96%) and GPT-5.6 Sol (96.2%) on SWE-bench Verified for the hardest coding work

Skip it if

You are planning 2027 spend and need price certainty — the introductory rate expires December 31, 2026.

Our verdict

The best coding score per dollar in Google's lineup right now — 80.8% SWE-bench Verified at $0.75/1M input. Budget on the post-January 2027 price of $1.50/$7.50 if you are signing anything long-term.

Released August 13, 2026, only three weeks after Gemini 3.6 Flash. Introductory pricing of $0.75/$3.75 runs through December 31, 2026; on January 1, 2027 it doubles to $1.50/$7.50, which is exactly Gemini 3.6 Flash's rate.

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Gemini 3.7 Flash80.8% SWE-bench Verified at introductory Flash pricing.Read guide
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FAQ

Is Grok 4.6 better than Gemini 3.7 Flash?

Grok 4.6 wins on more of the categories we score — coding, reasoning, research — so it is the better default of the two. Gemini 3.7 Flash is the better pick when your work is mostly high-volume coding and long-context work at introductory Flash pricing. Neither is universally "better": Grok 4.6 is aimed at long-running agents and multi-step codebase work, Gemini 3.7 Flash at high-volume coding and long-context work at introductory Flash pricing.

Which is cheaper — Grok 4.6 or Gemini 3.7 Flash?

Gemini 3.7 Flash is cheaper at $0.75/1M input and $3.75/1M output. Grok 4.6 costs $2/1M input and $6/1M output.

Which has a larger context window — Grok 4.6 or Gemini 3.7 Flash?

Gemini 3.7 Flash has the larger context window at 1.048576M tokens vs Grok 4.6's 500K. For large document analysis, Gemini 3.7 Flash is the stronger pick.

Is Grok 4.6 or Gemini 3.7 Flash better for coding?

Gemini 3.7 Flash is better for coding with a score of 89 vs Grok 4.6's 86 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.

Which is faster — Grok 4.6 or Gemini 3.7 Flash?

Both Grok 4.6 and Gemini 3.7 Flash have similar speed profiles — rated fast. Neither will be the bottleneck if latency is your deciding factor.

What are the downsides of Grok 4.6?

No published SWE-bench Verified or SWE-bench Pro figure, so it cannot be compared directly on the standard coding leaderboard. GPT-5.6 Sol Max beats it on DeepSWE v1.1 and Terminal-Bench 3.0. Prompts of 200K tokens or more are billed at $4/$12 across the entire request, not just the overage. Avoid it if you need a published SWE-bench score to justify the pick, or your prompts routinely cross 200K tokens where the price doubles. That is the main case for looking at Gemini 3.7 Flash instead.

What are the downsides of Gemini 3.7 Flash?

The $0.75/$3.75 launch price is introductory — it doubles to $1.50/$7.50 on January 1, 2027. Still short of Claude Opus 5 (96%) and GPT-5.6 Sol (96.2%) on SWE-bench Verified for the hardest coding work. Avoid it if you are planning 2027 spend and need price certainty — the introductory rate expires December 31, 2026. Against Grok 4.6 specifically, the gap shows up most on coding (86 vs 89).

What does a month of real work cost on Grok 4.6 vs Gemini 3.7 Flash?

Take a moderate workload of 10M input and 2M output tokens a month. Grok 4.6 runs $32.00 (at $2/1M in and $6/1M out); Gemini 3.7 Flash runs $15.00 (at $0.75/1M in and $3.75/1M out). That is a $17.00/month difference — Gemini 3.7 Flash is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.

Can I use Grok 4.6 and Gemini 3.7 Flash together?

Yes, and for most teams that beats picking one. A common split is Grok 4.6 for long-running agents and multi-step codebase work, with Gemini 3.7 Flash handling high-volume coding and long-context work at introductory Flash pricing. Routing high-volume, low-stakes calls to Gemini 3.7 Flash at $0.75/1M and reserving Grok 4.6 for the hard cases is usually the cheapest arrangement that does not cost you quality.