Pick Gemini 3.6 Flash for high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash or multimodal input across text, image and video at a 1m-token window. Pick Grok 4.7 for 2.1 trillion parameters, up 40% from grok 4.6's 1.5 trillion, at the same $2/$6 per million token price or deepswe v1.1 (high effort): 71.0%, up from grok 4.6's 65.2%; cursorbench 4.0: 46.3%, up from 40.4%. On a tight budget at scale, Gemini 3.6 Flash is the value pick.
Gemini 3.6 Flash (Google) and Grok 4.7 (xAI) are two of the models people most often weigh against each other in 2026. Gemini 3.6 Flash is google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks. Grok 4.7 is xAI's September 21, 2026 update — a 2.1T-parameter model trained partly on SpaceX hardware data, same price as Grok 4.6 but stronger on coding benchmarks. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: Gemini 3.6 Flash is about 2.7× cheaper on input ($0.75/$3.75 per 1M tokens vs $2/$6 per 1M tokens) — meaningful once you are processing millions of tokens a month.
Context window: Gemini 3.6 Flash holds 2.1× more — 1M (~1,573 pages) vs 500K tokens (~750 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Grok 4.7 is the newer model by about 2 months (released September 21, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Gemini 3.6 Flash
Grok 4.7
Provider
Google (US)
xAI (US)
Released
July 21, 2026
September 21, 2026
Context window
1M (~1,573 pages)
500K tokens (~750 pages)
Price (in/out)
$0.75/$3.75 per 1M tokens
$2/$6 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, video, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
High-volume, cost-sensitive work — Google says it uses about 17% fewer output tokens than 3.5 Flash: Gemini 3.6 Flash — At $0.75/$3.75 per 1M tokens it undercuts Grok 4.7 ($2/$6 per 1M tokens), and that gap compounds at volume.
Multimodal input across text, image and video at a 1M-token window: Gemini 3.6 Flash — Its 1M window holds about 2.1× more than Grok 4.7's 500K tokens in a single prompt.
Fast, cheap general assistance — the model behind much of Gemini's billion-plus Search reach: Gemini 3.6 Flash — Google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks — and it runs cheaper at $0.75/$3.75 per 1M tokens.
2.1 trillion parameters, up 40% from Grok 4.6's 1.5 trillion, at the same $2/$6 per million token price: Grok 4.7 — XAI's September 21, 2026 update — a 2.1T-parameter model trained partly on SpaceX hardware data, same price as Grok 4.6 but stronger on coding benchmarks — and it is the newer of the two.
DeepSWE v1.1 (high effort): 71.0%, up from Grok 4.6's 65.2%; CursorBench 4.0: 46.3%, up from 40.4%: Grok 4.7 — Grok 4.7 lists deepSWE v1.1 (high effort): 71.0%, up from Grok 4.6's 65.2%; CursorBench 4.0: 46.3%, up from 40.4% among its strengths; Gemini 3.6 Flash does not.
Trained with supplemental SpaceX data (Starlink telemetry, manufacturing records, engineering failure logs) — xAI says this improves reasoning about hardware and physical systems: Grok 4.7 — Gemini 3.6 Flash is comparatively weak here — a Flash-tier model — not built to top reasoning or coding leaderboards against flagships
Lowest cost at scale: Gemini 3.6 Flash — At $0.75/$3.75 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: Gemini 3.6 Flash — Its 1M window is about 2.1× larger than Grok 4.7's 500K tokens, fitting roughly 1,573 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Gemini 3.6 Flash — At $0.75/$3.75 per 1M tokens it undercuts Grok 4.7, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.6 Flash — Larger 1M window fits more in one prompt.
Anyone whose priority is high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash: Gemini 3.6 Flash — It is specifically built for that.
Anyone whose priority is 2.1 trillion parameters, up 40% from grok 4.6's 1.5 trillion, at the same $2/$6 per million token price: Grok 4.7 — That is its strongest area.
Gemini 3.6 Flash: where it fits
Google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks. Released July 21, 2026 by Google, it is built for high-volume, cost-sensitive work — Google says it uses about 17% fewer output tokens than 3.5 Flash, multimodal input across text, image and video at a 1M-token window, fast, cheap general assistance — the model behind much of Gemini's billion-plus Search reach, and strong price-to-capability for everyday tasks rather than frontier reasoning.
Its trade-offs are real: a Flash-tier model — not built to top reasoning or coding leaderboards against flagships, google reports SWE-Bench Pro rather than SWE-Bench Verified, so coding comparisons are not apples-to-apples, cheaper 3.5 Flash-Lite undercuts it when you do not need the extra capability, and google held its 3.5 Pro flagship back as not ready, so the Flash line is carrying the release. At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.
Grok 4.7: where it fits
XAI's September 21, 2026 update — a 2.1T-parameter model trained partly on SpaceX hardware data, same price as Grok 4.6 but stronger on coding benchmarks. Released September 21, 2026 by xAI, it is built for 2.1 trillion parameters, up 40% from Grok 4.6's 1.5 trillion, at the same $2/$6 per million token price, deepSWE v1.1 (high effort): 71.0%, up from Grok 4.6's 65.2%; CursorBench 4.0: 46.3%, up from 40.4%, trained with supplemental SpaceX data (Starlink telemetry, manufacturing records, engineering failure logs) — xAI says this improves reasoning about hardware and physical systems, and xAI's strongest safety guardrails to date, per the company.
Its trade-offs: release was delayed at least five times since late July 2026 before shipping, 500K context window trails several rivals now sitting at 1M+, and reviewers note it arrives "late to the AI frontier party" against GPT-6 Astra, Claude Fable 5.1 and Opus 5.5, all shipped in the weeks just before it. At $2 in / $6 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Gemini 3.6 Flash and Grok 4.7 overlap enough that the right pick depends on your specific job. Gemini 3.6 Flash costs less per token; Gemini 3.6 Flash holds the larger context; and each leads in its own area — Gemini 3.6 Flash for high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash, Grok 4.7 for 2.1 trillion parameters, up 40% from grok 4.6's 1.5 trillion, at the same $2/$6 per million token price. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Gemini 3.6 Flash or Grok 4.7 better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Gemini 3.6 Flash leans toward high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash while Grok 4.7 leans toward 2.1 trillion parameters, up 40% from grok 4.6's 1.5 trillion, at the same $2/$6 per million token price, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Gemini 3.6 Flash or Grok 4.7?
Gemini 3.6 Flash is cheaper — $0.75/$3.75 per 1M tokens vs $2/$6 per 1M tokens, roughly 2.7× apart on input.
Which has the bigger context window?
Gemini 3.6 Flash — 1M vs 500K tokens, about 2.1× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Gemini 3.6 Flash and Grok 4.7 together?
Yes — a multi-model platform like LumiChats gives you Gemini 3.6 Flash, Grok 4.7 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Gemini 3.6 Flash or Grok 4.7?
Grok 4.7 — released September 21, 2026, about 2 months after Gemini 3.6 Flash.
Gemini 3.6 Flash vs Grok 4.7
Google · US | xAI · US · Updated June 2026
Quick verdict
Pick Gemini 3.6 Flash for high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash or multimodal input across text, image and video at a 1m-token window. Pick Grok 4.7 for 2.1 trillion parameters, up 40% from grok 4.6's 1.5 trillion, at the same $2/$6 per million token price or deepswe v1.1 (high effort): 71.0%, up from grok 4.6's 65.2%; cursorbench 4.0: 46.3%, up from 40.4%. On a tight budget at scale, Gemini 3.6 Flash is the value pick.
Gemini 3.6 Flash (Google) and Grok 4.7 (xAI) are two of the models people most often weigh against each other in 2026. Gemini 3.6 Flash is google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks. Grok 4.7 is xAI's September 21, 2026 update — a 2.1T-parameter model trained partly on SpaceX hardware data, same price as Grok 4.6 but stronger on coding benchmarks. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: Gemini 3.6 Flash is about 2.7× cheaper on input ($0.75/$3.75 per 1M tokens vs $2/$6 per 1M tokens) — meaningful once you are processing millions of tokens a month.
▸Context window: Gemini 3.6 Flash holds 2.1× more — 1M (~1,573 pages) vs 500K tokens (~750 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Grok 4.7 is the newer model by about 2 months (released September 21, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Gemini 3.6 Flash
Grok 4.7
Provider
Google (US)
xAI (US)
Released
July 21, 2026
September 21, 2026
Context window
1M (~1,573 pages)
500K tokens (~750 pages)
Price (in/out)
$0.75/$3.75 per 1M tokens
$2/$6 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, video, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
High-volume, cost-sensitive work — Google says it uses about 17% fewer output tokens than 3.5 Flash
Gemini 3.6 Flash
At $0.75/$3.75 per 1M tokens it undercuts Grok 4.7 ($2/$6 per 1M tokens), and that gap compounds at volume.
Multimodal input across text, image and video at a 1M-token window
Gemini 3.6 Flash
Its 1M window holds about 2.1× more than Grok 4.7's 500K tokens in a single prompt.
Fast, cheap general assistance — the model behind much of Gemini's billion-plus Search reach
Gemini 3.6 Flash
Google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks — and it runs cheaper at $0.75/$3.75 per 1M tokens.
2.1 trillion parameters, up 40% from Grok 4.6's 1.5 trillion, at the same $2/$6 per million token price
Grok 4.7
XAI's September 21, 2026 update — a 2.1T-parameter model trained partly on SpaceX hardware data, same price as Grok 4.6 but stronger on coding benchmarks — and it is the newer of the two.
DeepSWE v1.1 (high effort): 71.0%, up from Grok 4.6's 65.2%; CursorBench 4.0: 46.3%, up from 40.4%
Grok 4.7
Grok 4.7 lists deepSWE v1.1 (high effort): 71.0%, up from Grok 4.6's 65.2%; CursorBench 4.0: 46.3%, up from 40.4% among its strengths; Gemini 3.6 Flash does not.
Trained with supplemental SpaceX data (Starlink telemetry, manufacturing records, engineering failure logs) — xAI says this improves reasoning about hardware and physical systems
Grok 4.7
Gemini 3.6 Flash is comparatively weak here — a Flash-tier model — not built to top reasoning or coding leaderboards against flagships
Lowest cost at scale
Gemini 3.6 Flash
At $0.75/$3.75 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Gemini 3.6 Flash
Its 1M window is about 2.1× larger than Grok 4.7's 500K tokens, fitting roughly 1,573 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Gemini 3.6 Flash
At $0.75/$3.75 per 1M tokens it undercuts Grok 4.7, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.6 Flash
Larger 1M window fits more in one prompt.
Anyone whose priority is high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash
→ Gemini 3.6 Flash
It is specifically built for that.
Anyone whose priority is 2.1 trillion parameters, up 40% from grok 4.6's 1.5 trillion, at the same $2/$6 per million token price
→ Grok 4.7
That is its strongest area.
Gemini 3.6 Flash: where it fits
Google's July 2026 workhorse Flash model at $1.50/$7.50 with a 1M window — tuned for cheap, high-volume multimodal work over benchmark peaks. Released July 21, 2026 by Google, it is built for high-volume, cost-sensitive work — Google says it uses about 17% fewer output tokens than 3.5 Flash, multimodal input across text, image and video at a 1M-token window, fast, cheap general assistance — the model behind much of Gemini's billion-plus Search reach, and strong price-to-capability for everyday tasks rather than frontier reasoning.
Its trade-offs are real: a Flash-tier model — not built to top reasoning or coding leaderboards against flagships, google reports SWE-Bench Pro rather than SWE-Bench Verified, so coding comparisons are not apples-to-apples, cheaper 3.5 Flash-Lite undercuts it when you do not need the extra capability, and google held its 3.5 Pro flagship back as not ready, so the Flash line is carrying the release. At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.
Grok 4.7: where it fits
XAI's September 21, 2026 update — a 2.1T-parameter model trained partly on SpaceX hardware data, same price as Grok 4.6 but stronger on coding benchmarks. Released September 21, 2026 by xAI, it is built for 2.1 trillion parameters, up 40% from Grok 4.6's 1.5 trillion, at the same $2/$6 per million token price, deepSWE v1.1 (high effort): 71.0%, up from Grok 4.6's 65.2%; CursorBench 4.0: 46.3%, up from 40.4%, trained with supplemental SpaceX data (Starlink telemetry, manufacturing records, engineering failure logs) — xAI says this improves reasoning about hardware and physical systems, and xAI's strongest safety guardrails to date, per the company.
Its trade-offs: release was delayed at least five times since late July 2026 before shipping, 500K context window trails several rivals now sitting at 1M+, and reviewers note it arrives "late to the AI frontier party" against GPT-6 Astra, Claude Fable 5.1 and Opus 5.5, all shipped in the weeks just before it. At $2 in / $6 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Gemini 3.6 Flash and Grok 4.7 overlap enough that the right pick depends on your specific job. Gemini 3.6 Flash costs less per token; Gemini 3.6 Flash holds the larger context; and each leads in its own area — Gemini 3.6 Flash for high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash, Grok 4.7 for 2.1 trillion parameters, up 40% from grok 4.6's 1.5 trillion, at the same $2/$6 per million token price. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Gemini 3.6 Flash and Grok 4.7 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
Is Gemini 3.6 Flash or Grok 4.7 better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Gemini 3.6 Flash leans toward high-volume, cost-sensitive work — google says it uses about 17% fewer output tokens than 3.5 flash while Grok 4.7 leans toward 2.1 trillion parameters, up 40% from grok 4.6's 1.5 trillion, at the same $2/$6 per million token price, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Gemini 3.6 Flash or Grok 4.7?
Gemini 3.6 Flash is cheaper — $0.75/$3.75 per 1M tokens vs $2/$6 per 1M tokens, roughly 2.7× apart on input.
Which has the bigger context window?
Gemini 3.6 Flash — 1M vs 500K tokens, about 2.1× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Gemini 3.6 Flash and Grok 4.7 together?
Yes — a multi-model platform like LumiChats gives you Gemini 3.6 Flash, Grok 4.7 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Gemini 3.6 Flash or Grok 4.7?
Grok 4.7 — released September 21, 2026, about 2 months after Gemini 3.6 Flash.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.