Pick Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing or 1m-token context with full multimodal input (text, image, audio, video). Pick GPT-5.2 for strong all-round reasoning or reliable structured output. On a tight budget at scale, Gemini 3.7 Flash is the value pick.
Gemini 3.7 Flash (Google) and GPT-5.2 (OpenAI) are two of the models people most often weigh against each other in 2026. Gemini 3.7 Flash is google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. GPT-5.2 is a capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: Gemini 3.7 Flash is about 2.3× cheaper on input ($0.75/$3.75 per 1M tokens vs $1.75/$14 per 1M tokens) — meaningful once you are processing millions of tokens a month.
Context window: Gemini 3.7 Flash holds 2.6× more — 1M (~1,573 pages) vs 400K (~600 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Gemini 3.7 Flash is the newer model by about 8 months (released August 13, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Gemini 3.7 Flash
GPT-5.2
Provider
Google (US)
OpenAI (US)
Released
August 13, 2026
December 11, 2025
Context window
1M (~1,573 pages)
400K (~600 pages)
Price (in/out)
$0.75/$3.75 per 1M tokens
$1.75/$14 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, audio, video, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing: Gemini 3.7 Flash — Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it runs cheaper at $0.75/$3.75 per 1M tokens.
1M-token context with full multimodal input (text, image, audio, video): Gemini 3.7 Flash — Its 1M window holds about 2.6× more than GPT-5.2's 400K in a single prompt.
Built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra: Gemini 3.7 Flash — Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it carries the larger 1M context.
Strong all-round reasoning: GPT-5.2 — GPT-5.2 lists strong all-round reasoning among its strengths; Gemini 3.7 Flash does not.
Reliable structured output: GPT-5.2 — GPT-5.2 lists reliable structured output among its strengths; Gemini 3.7 Flash does not.
Broad ecosystem and tooling: GPT-5.2 — GPT-5.2 lists broad ecosystem and tooling among its strengths; Gemini 3.7 Flash does not.
Lowest cost at scale: Gemini 3.7 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 3.7 Flash — Its 1M window is about 2.6× larger than GPT-5.2's 400K, fitting roughly 1,573 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Gemini 3.7 Flash — At $0.75/$3.75 per 1M tokens it undercuts GPT-5.2, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.7 Flash — Larger 1M window fits more in one prompt.
Anyone whose priority is strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing: Gemini 3.7 Flash — It is specifically built for that.
Anyone whose priority is strong all-round reasoning: GPT-5.2 — That is its strongest area.
Gemini 3.7 Flash: where it fits
Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. Released August 13, 2026 by Google, it is built for strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing, 1M-token context with full multimodal input (text, image, audio, video), built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra, and wins broad-coding and web-development benchmarks against GPT-5.6 Terra.
Its trade-offs are real: introductory pricing ($0.75/$3.75) reverts to $1.50/$7.50 on Jan 1, 2027, trails GPT-5.6 Terra on the hardest repo-scale and terminal-agent coding, a fast 'workhorse,' not Google's top-intelligence model (Gemini 3.1 Pro is still the flagship), and some benchmark gains are Google's own figures. At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.
GPT-5.2: where it fits
A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. Released December 11, 2025 by OpenAI, it is built for strong all-round reasoning, reliable structured output, broad ecosystem and tooling, and professional workflows.
Its trade-offs: superseded by GPT-5.5, and smaller context than flagships. At $1.75 in / $14 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Gemini 3.7 Flash and GPT-5.2 overlap enough that the right pick depends on your specific job. Gemini 3.7 Flash costs less per token; Gemini 3.7 Flash holds the larger context; and each leads in its own area — Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing, GPT-5.2 for strong all-round reasoning. Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Gemini 3.7 Flash or GPT-5.2 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 3.7 Flash leans toward strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing while GPT-5.2 leans toward strong all-round reasoning, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Gemini 3.7 Flash or GPT-5.2?
Gemini 3.7 Flash is cheaper — $0.75/$3.75 per 1M tokens vs $1.75/$14 per 1M tokens, roughly 2.3× apart on input.
Which has the bigger context window?
Gemini 3.7 Flash — 1M vs 400K, about 2.6× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Gemini 3.7 Flash and GPT-5.2 together?
Yes — a multi-model platform like LumiChats gives you Gemini 3.7 Flash, GPT-5.2 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 3.7 Flash or GPT-5.2?
Gemini 3.7 Flash — released August 13, 2026, about 8 months after GPT-5.2.
Gemini 3.7 Flash vs GPT-5.2
Google · US | OpenAI · US · Updated June 2026
Quick verdict
Pick Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing or 1m-token context with full multimodal input (text, image, audio, video). Pick GPT-5.2 for strong all-round reasoning or reliable structured output. On a tight budget at scale, Gemini 3.7 Flash is the value pick.
Gemini 3.7 Flash (Google) and GPT-5.2 (OpenAI) are two of the models people most often weigh against each other in 2026. Gemini 3.7 Flash is google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. GPT-5.2 is a capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: Gemini 3.7 Flash is about 2.3× cheaper on input ($0.75/$3.75 per 1M tokens vs $1.75/$14 per 1M tokens) — meaningful once you are processing millions of tokens a month.
▸Context window: Gemini 3.7 Flash holds 2.6× more — 1M (~1,573 pages) vs 400K (~600 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Gemini 3.7 Flash is the newer model by about 8 months (released August 13, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Gemini 3.7 Flash
GPT-5.2
Provider
Google (US)
OpenAI (US)
Released
August 13, 2026
December 11, 2025
Context window
1M (~1,573 pages)
400K (~600 pages)
Price (in/out)
$0.75/$3.75 per 1M tokens
$1.75/$14 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, audio, video, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing
Gemini 3.7 Flash
Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it runs cheaper at $0.75/$3.75 per 1M tokens.
1M-token context with full multimodal input (text, image, audio, video)
Gemini 3.7 Flash
Its 1M window holds about 2.6× more than GPT-5.2's 400K in a single prompt.
Built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra
Gemini 3.7 Flash
Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it carries the larger 1M context.
Strong all-round reasoning
GPT-5.2
GPT-5.2 lists strong all-round reasoning among its strengths; Gemini 3.7 Flash does not.
Reliable structured output
GPT-5.2
GPT-5.2 lists reliable structured output among its strengths; Gemini 3.7 Flash does not.
Broad ecosystem and tooling
GPT-5.2
GPT-5.2 lists broad ecosystem and tooling among its strengths; Gemini 3.7 Flash does not.
Lowest cost at scale
Gemini 3.7 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 3.7 Flash
Its 1M window is about 2.6× larger than GPT-5.2's 400K, fitting roughly 1,573 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Gemini 3.7 Flash
At $0.75/$3.75 per 1M tokens it undercuts GPT-5.2, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.7 Flash
Larger 1M window fits more in one prompt.
Anyone whose priority is strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing
→ Gemini 3.7 Flash
It is specifically built for that.
Anyone whose priority is strong all-round reasoning
→ GPT-5.2
That is its strongest area.
Gemini 3.7 Flash: where it fits
Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. Released August 13, 2026 by Google, it is built for strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing, 1M-token context with full multimodal input (text, image, audio, video), built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra, and wins broad-coding and web-development benchmarks against GPT-5.6 Terra.
Its trade-offs are real: introductory pricing ($0.75/$3.75) reverts to $1.50/$7.50 on Jan 1, 2027, trails GPT-5.6 Terra on the hardest repo-scale and terminal-agent coding, a fast 'workhorse,' not Google's top-intelligence model (Gemini 3.1 Pro is still the flagship), and some benchmark gains are Google's own figures. At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.
GPT-5.2: where it fits
A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. Released December 11, 2025 by OpenAI, it is built for strong all-round reasoning, reliable structured output, broad ecosystem and tooling, and professional workflows.
Its trade-offs: superseded by GPT-5.5, and smaller context than flagships. At $1.75 in / $14 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
Gemini 3.7 Flash and GPT-5.2 overlap enough that the right pick depends on your specific job. Gemini 3.7 Flash costs less per token; Gemini 3.7 Flash holds the larger context; and each leads in its own area — Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing, GPT-5.2 for strong all-round reasoning. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Gemini 3.7 Flash and GPT-5.2 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.
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 3.7 Flash leans toward strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing while GPT-5.2 leans toward strong all-round reasoning, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Gemini 3.7 Flash or GPT-5.2?
Gemini 3.7 Flash is cheaper — $0.75/$3.75 per 1M tokens vs $1.75/$14 per 1M tokens, roughly 2.3× apart on input.
Which has the bigger context window?
Gemini 3.7 Flash — 1M vs 400K, about 2.6× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Gemini 3.7 Flash and GPT-5.2 together?
Yes — a multi-model platform like LumiChats gives you Gemini 3.7 Flash, GPT-5.2 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 3.7 Flash or GPT-5.2?
Gemini 3.7 Flash — released August 13, 2026, about 8 months after GPT-5.2.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.