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Precision Benchmarks

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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  2. Comparisons
  3. Gemini 3.7 Flash vs OpenAI o1

Pairwise benchmark snapshot · Aug 16, 2026

Gemini 3.7 Flash vs OpenAI o1 benchmark

In this head-to-head showdown, Gemini 3.7 Flash delivers higher overall intelligence and human-preferred responses (Elo 1,530 vs 1,512), while Gemini 3.7 Flash leads in SWE-bench software engineering benchmarks (72.4%), while Gemini 3.7 Flash is more budget-friendly at $3.75/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Gemini 3.7 Flash holds the advantage over OpenAI o1 in overall benchmark performance and human evaluation rankings. Choose Gemini 3.7 Flash for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

10 direct benchmark disciplines evaluated across capability, speed, and cost

Gemini 3.7 Flash (10)OpenAI o1 (0)
Gemini 3.7 Flash
10 of 10 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price✓Context window
OpenAI o1
0 of 10 Wins
Competitive baseline across remaining benchmarks
Google
Leads 10 of 10 metrics
Gemini 3.7 Flash

Google Aug 13 2026 workhorse. Official intro price $0.75/$3.75 per 1M through Dec 31 2026; 1,048,576-token context (Google blog).

3.7 Flash SpeedElo 1,530$3.75/1M out
OpenAI
OpenAI o1

OpenAI pioneer reasoning foundation model designed for complex science, math, and multi-step reasoning.

Elo 1,512$60/1M out

Gemini 3 Series Lineage & Sibling Variants

5 models

Currently comparing Gemini 3.7 Flash vs OpenAI o1. Alternative family tiers available.

Active: Gemini 3.7 Flash
Gemini 3 Pro$5Gemini 3 Flash$0.6Gemini 3.6 Pro$5Gemini 3.6 Flash$3.75

OpenAI o1 Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
420 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$115.50
4.5× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for Gemini 3.7 Flash
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderGemini 3.7 Flash Wins

Gemini 3.7 Flash

Δ 18 Arena Elo pts

Throughput LeaderGemini 3.7 Flash Wins

Gemini 3.7 Flash

215 tok/s

Value per Dollar LeaderGemini 3.7 Flash Wins

Gemini 3.7 Flash

$3.75 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Gemini 3.7 Flash (10)vsOpenAI o1 (0)
Gemini 3.7 Flash: 10W (100%)Overall: Gemini 3.7 FlashOpenAI o1: 0W (0%)
← Gemini 3.7 FlashOpenAI o1 →
🏆Gemini 3.7 Flash(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Gemini 3.7 FlashvsOpenAI o1
Preference Elo
1,530vs1,512+18
Coding Elo
1,546vs1,485+61
SWE-bench
72.4%vs48.9%+23.5%
LiveBench
69.6%vs65.4%+4.2%
GPQA Diamond
81.2%vs78%+3.2%
Gemini 3.7 Flash: 5WOpenAI o1: 0W
🏆Gemini 3.7 Flash(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 3.7 FlashvsOpenAI o1
Output speed
215 tok/svs45 tok/s+170 tok/s
Time to first token
82 msvs420 ms+338 ms
Gemini 3.7 Flash: 2WOpenAI o1: 0W
🏆Gemini 3.7 Flash(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 3.7 FlashvsOpenAI o1
Output price
$3.75/1Mvs$60/1M+$56.25/1M
Input price
$0.75/1Mvs$15/1M+$14.25/1M
Context window
1Mvs200k+849k
Gemini 3.7 Flash: 3WOpenAI o1: 0W

Side-by-Side Benchmark Matrix

Preference Elo+18
Gemini 3.7 Flash1,530
seed-bootstrap · Aug 16, 2026
OpenAI o11,512
seed-bootstrap · Aug 1, 2026
Coding Elo+61
Gemini 3.7 Flash1,546
seed-bootstrap · Aug 16, 2026
OpenAI o11,485
seed-bootstrap · Aug 1, 2026
LiveBench+4.2%
Gemini 3.7 Flash69.6%
seed-bootstrap · Aug 16, 2026
OpenAI o165.4%
seed-bootstrap · Aug 1, 2026
SWE-bench+23.5%
Gemini 3.7 Flash72.4%
seed-bootstrap · Aug 16, 2026
OpenAI o148.9%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+3.2%
Gemini 3.7 Flash81.2%
seed-bootstrap · Aug 16, 2026
OpenAI o178%
seed-bootstrap · Aug 1, 2026
Time to first token+338 ms
Gemini 3.7 Flash82 ms
seed-bootstrap · Aug 16, 2026
OpenAI o1420 ms
seed-bootstrap · Aug 1, 2026
Output speed+170 tok/s
Gemini 3.7 Flash215 tok/s
seed-bootstrap · Aug 16, 2026
OpenAI o145 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$14.25/1M
Gemini 3.7 Flash$0.75/1M
seed-bootstrap · Aug 16, 2026
OpenAI o1$15/1M
seed-bootstrap · Aug 1, 2026
Output price+$56.25/1M
Gemini 3.7 Flash$3.75/1M
seed-bootstrap · Aug 16, 2026
OpenAI o1$60/1M
seed-bootstrap · Aug 1, 2026
Context window+849k
Gemini 3.7 Flash1M
seed-bootstrap · Aug 16, 2026
OpenAI o1200k
seed-bootstrap · Aug 1, 2026
BenchmarkGemini 3.7 FlashOpenAI o1Advantage Delta
Preference Elo
1,530
seed-bootstrap · Aug 16, 2026
1,512
seed-bootstrap · Aug 1, 2026
+18
Coding Elo
1,546
seed-bootstrap · Aug 16, 2026
1,485
seed-bootstrap · Aug 1, 2026
+61
LiveBench
69.6%
seed-bootstrap · Aug 16, 2026
65.4%
seed-bootstrap · Aug 1, 2026
+4.2%
SWE-bench
72.4%
seed-bootstrap · Aug 16, 2026
48.9%
seed-bootstrap · Aug 1, 2026
+23.5%
GPQA Diamond
81.2%
seed-bootstrap · Aug 16, 2026
78%
seed-bootstrap · Aug 1, 2026
+3.2%
Time to first token
82 ms
seed-bootstrap · Aug 16, 2026
420 ms
seed-bootstrap · Aug 1, 2026
+338 ms
Output speed
215 tok/s
seed-bootstrap · Aug 16, 2026
45 tok/s
seed-bootstrap · Aug 1, 2026
+170 tok/s
Input price
$0.75/1M
seed-bootstrap · Aug 16, 2026
$15/1M
seed-bootstrap · Aug 1, 2026
+$14.25/1M
Output price
$3.75/1M
seed-bootstrap · Aug 16, 2026
$60/1M
seed-bootstrap · Aug 1, 2026
+$56.25/1M
Context window
1M
seed-bootstrap · Aug 16, 2026
200k
seed-bootstrap · Aug 1, 2026
+849k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 94% with Gemini 3.7 Flash
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Gemini 3.7 Flash$82.50 / mo
In: $26.25Out: $56.25
OpenAI o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

Gemini 3.7 Flash is estimated to save $1,342.50/month ($16,110/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 3.7 Flash:Pick Gemini 3.7 Flash when repo-level coding accuracy is the constraint.
  • 2
    Gemini 3.7 Flash:Pick Gemini 3.7 Flash when time-to-first-token matters more than peak Elo.
  • 3
    Gemini 3.7 Flash:Pick Gemini 3.7 Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsGemini 3.7 Flash

Higher SWE-bench (72.4%).

High-volume chatGemini 3.7 Flash

Lower output list price ($3.75/1M).

Voice / low-latency UIGemini 3.7 Flash

Lower TTFT (82 ms).

Long-document RAGGemini 3.7 Flash

Larger window (1M).

Screenshots / visionGemini 3.7 Flash

Both accept images. Defaulting to the higher-Elo side (Gemini 3.7 Flash).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGemini 3.7 FlashHigher SWE-bench (72.4%).
High-volume chatGemini 3.7 FlashLower output list price ($3.75/1M).
Voice / low-latency UIGemini 3.7 FlashLower TTFT (82 ms).
Long-document RAGGemini 3.7 FlashLarger window (1M).
Screenshots / visionGemini 3.7 FlashBoth accept images. Defaulting to the higher-Elo side (Gemini 3.7 Flash).

Related Editorial Dispatches & Benchmark Notes

View all news
compareAug 13, 2026

Gemini Flash vs Pro: when Flash is the whole product

3.7 Flash vs 3.6 Pro is the current Google volume-versus-upgrade pair.

priceAug 13, 2026

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Jul 21 workhorse that inherited $0.75/$3.75 through year-end. Keep the row; 3.7 is the newer sibling.

launchAug 13, 2026

Gemini 3.7 Flash (Aug 13): $0.75/$3.75 intro through Dec 31 2026

Google’s current workhorse drop. Official intro list and 1,048,576-token context. Compare to Luna and Haiku.

launchJul 15, 2026

Gemini 3.6 Pro: Google’s current Pro-class long-context row

2M context, Pro-class Elo and coding. Upgrade path from Flash is this page, not a vibe check.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 3.7 Flash

Elo 1,530
SWE-bench72.4%
Speed (tok/s)215 tok/s
Input / 1M Tokens$0.75/1M
Output / 1M Tokens$3.75/1M
OpenAI

OpenAI o1

Elo 1,512
SWE-bench48.9%
Speed (tok/s)45 tok/s
Input / 1M Tokens$15/1M
Output / 1M Tokens$60/1M

Frequently Asked Questions

Which is better overall, Gemini 3.7 Flash or OpenAI o1?
Gemini 3.7 Flash has the higher preference Elo in our latest snapshot (1,530). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 3.7 Flash or OpenAI o1?
Gemini 3.7 Flash leads SWE-bench at 72.4% vs 48.9%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Gemini 3.7 Flash output tokens are $3.75/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3.7 Flash or OpenAI o1?
Gemini 3.7 Flash has the lower time-to-first-token (82 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 3.7 Flash accepts 1M tokens versus 200k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Gemini 3.7 Flash and OpenAI o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • compare · Aug 13, 2026

    Gemini Flash vs Pro: when Flash is the whole product

  • price · Aug 13, 2026

    Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

  • launch · Aug 13, 2026

    Gemini 3.7 Flash (Aug 13): $0.75/$3.75 intro through Dec 31 2026

  • launch · Jul 15, 2026

    Gemini 3.6 Pro: Google’s current Pro-class long-context row

Similar Head-to-Head Comparisons

All Gemini 3.7 Flash matchups →|All OpenAI o1 matchups →
Gemini 3.7 Flash vs Gemini 3.6 Flash (previous gemini-flash)OpenAI o1 vs GPT-4o (previous gpt-flagship)OpenAI o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-4.5 Orion vs Gemini 3.7 FlashGPT-5.6 Terra vs Gemini 3.7 FlashGemini 3 Pro vs Gemini 3.7 Flash