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Every score has a dated snapshot.

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  3. Google: Gemini 2.5 Pro (batch) vs Gemini 3.6 Pro

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Google: Gemini 2.5 Pro (batch) vs Gemini 3.6 Pro benchmark

In this head-to-head showdown, Google: Gemini 2.5 Pro (batch) is more budget-friendly at $5/1M 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: Both Google: Gemini 2.5 Pro (batch) and Gemini 3.6 Pro present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Google: Gemini 2.5 Pro (batch) holds empirical advantage (1 of 2 metrics)

Coding / SWESWE-bench
Gemini 3.6 ProTop code solve rate
ReasoningGPQA / Live
Gemini 3.6 ProTop logical accuracy
Best Value$/1M Tok
Google: Gemini 2.5 Pro (batch)Lowest API billing cost
Speed / TokTok/Sec
Gemini 3.6 ProFastest stream rate

Verified Advantage Breakdown

2 benchmarks evaluated across capability, speed, and cost

Google: Gemini 2.5 Pro (batch) (1)Gemini 3.6 Pro (1)
Google: Gemini 2.5 Pro (batch)
1 of 2 Wins
✓Input price
Gemini 3.6 Pro
1 of 2 Wins
✓Context window
Google
Leads 1 of 2
Google: Gemini 2.5 Pro (batch)

Auto-discovered from OpenRouter (google/gemini-2.5-pro:batch). Preview until a second source matches.

In: $0.625 · Out: $5/1M
Google
Leads 1 of 2
Gemini 3.6 Pro

Current Google Pro-class multimodal model. Long context, strong coding, billed like the 3.x Pro tier.

Elo 1,570In: $1.25 · Out: $5/1M

Gemini 3.6 Pro Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (8k tokens)

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.

Delay
205 ms
Standard
CoT Tokens
~2,400
Internal reasoning
Cost / 1k
$14.13
6.6× base bill
Accuracy Boost
+4.8%
STEM & Logic
Top Rival Showdowns for Google: Gemini 2.5 Pro (batch)
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderGoogle: Gemini 2.5 Pro (batch) Wins

Google: Gemini 2.5 Pro (batch)

$5 / 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 standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

Google: Gemini 2.5 Pro (batch) (1)vsGemini 3.6 Pro (8)
Google: Gemini 2.5 Pro (batch): 1W (11%)Overall: Gemini 3.6 ProGemini 3.6 Pro: 8W (89%)
← Google: Gemini 2.5 Pro (batch)1 tiesGemini 3.6 Pro →
🏆Gemini 3.6 Pro Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Google: Gemini 2.5 Pro (batch)vsGemini 3.6 Pro
Preference Elo
—vs1,570
Coding Elo
—vs1,566
SWE-bench
—vs74.6%
LiveBench
—vs71.8%
GPQA Diamond
—vs84.4%
Google: Gemini 2.5 Pro (batch): 0WGemini 3.6 Pro: 5W
🏆Gemini 3.6 Pro Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Google: Gemini 2.5 Pro (batch)vsGemini 3.6 Pro
Output speed
—vs102 tok/s
Time to first token
—vs205 ms
Google: Gemini 2.5 Pro (batch): 0WGemini 3.6 Pro: 2W
Tied (1-1)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Google: Gemini 2.5 Pro (batch)vsGemini 3.6 Pro
Output price
$5/1Mvs$5/1M
Input price
$0.625/1Mvs$1.25/1M+$0.625/1M
Context window
1Mvs2M+951k
Google: Gemini 2.5 Pro (batch): 1WGemini 3.6 Pro: 1W

Side-by-Side Benchmark Matrix

Google: Gemini 2.5 Pro (batch)Gemini 3.6 Pro
Preference Elo
Google: Gemini 2.5 Pro (batch)—
Gemini 3.6 Pro1,570
Coding Elo
Google: Gemini 2.5 Pro (batch)—
Gemini 3.6 Pro1,566
LiveBench
Google: Gemini 2.5 Pro (batch)—
Gemini 3.6 Pro71.8%
SWE-bench
Google: Gemini 2.5 Pro (batch)—
Gemini 3.6 Pro74.6%
GPQA Diamond
Google: Gemini 2.5 Pro (batch)—
Gemini 3.6 Pro84.4%
Time to first token
Google: Gemini 2.5 Pro (batch)—
Gemini 3.6 Pro205 ms
Output speed
Google: Gemini 2.5 Pro (batch)—
Gemini 3.6 Pro102 tok/s
Input priceGoogle: Gemini 2.5 Pro (batch) +$0.625/1M
Google: Gemini 2.5 Pro (batch)$0.625/1M
Gemini 3.6 Pro$1.25/1M
Output price
Google: Gemini 2.5 Pro (batch)$5/1M
Gemini 3.6 Pro$5/1M
Context windowGemini 3.6 Pro +951k
Google: Gemini 2.5 Pro (batch)1M
Gemini 3.6 Pro2M
BenchmarkGoogle: Gemini 2.5 Pro (batch)Gemini 3.6 ProAdvantage Delta
Preference Elo—
1,570
lmarena · Aug 16, 2026
—
Coding Elo—
1,566
lmarena · Aug 16, 2026
—
LiveBench—
71.8%
livebench · Aug 16, 2026
—
SWE-bench—
74.6%
swebench · Aug 16, 2026
—
GPQA Diamond—
84.4%
seed-bootstrap · Aug 16, 2026
—
Time to first token—
205 ms
seed-bootstrap · Aug 16, 2026
—
Output speed—
102 tok/s
seed-bootstrap · Aug 16, 2026
—
Input price
$0.625/1M
openrouter · Aug 17, 2026
$1.25/1M
seed-bootstrap · Aug 16, 2026
+$0.625/1M
Output price
$5/1M
openrouter · Aug 17, 2026
$5/1M
seed-bootstrap · Aug 16, 2026
—
Context window
1M
openrouter · Aug 17, 2026
2M
seed-bootstrap · Aug 16, 2026
+951k

Workload Cost & Savings Calculator

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

Save 18% with Google: Gemini 2.5 Pro (batch)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Google: Gemini 2.5 Pro (batch)$96.88 / mo
In: $21.88Out: $75
Gemini 3.6 Pro$118.75 / mo
In: $43.75Out: $75
Estimated Cost Delta

Google: Gemini 2.5 Pro (batch) is estimated to save $21.88/month ($263/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Google: Gemini 2.5 Pro (batch):Pick Google: Gemini 2.5 Pro (batch) when you are optimizing output cost.
  • 2
    Gemini 3.6 Pro:Pick Gemini 3.6 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 2.5 Pro (batch)

Lower output list price ($5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGemini 3.6 Pro

Larger window (2M).

Screenshots / visionGemini 3.6 Pro

Gemini 3.6 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGoogle: Gemini 2.5 Pro (batch)Lower output list price ($5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGemini 3.6 ProLarger window (2M).
Screenshots / visionGemini 3.6 ProGemini 3.6 Pro is the side marked multimodal in the catalog.

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.

compareJul 24, 2026

Claude vs Gemini: coding, Elo, and output price — not a brand mashup

Top Anthropic vs top Google. Usually Opus 5 vs 3.6 Pro. Two different invoices.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

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.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Google: Gemini 2.5 Pro (batch)

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$0.625/1M
Output / 1M Tokens$5/1M
Google

Gemini 3.6 Pro

Elo 1,570
SWE-bench74.6%
Speed (tok/s)102 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 2.5 Pro (batch) or Gemini 3.6 Pro?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Google: Gemini 2.5 Pro (batch) or Gemini 3.6 Pro?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Google: Gemini 2.5 Pro (batch) output tokens are $5/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 2.5 Pro (batch) or Gemini 3.6 Pro?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 3.6 Pro accepts 2M tokens versus 1M.
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. Google: Gemini 2.5 Pro (batch) and Gemini 3.6 Pro 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

  • compare · Jul 24, 2026

    Claude vs Gemini: coding, Elo, and output price — not a brand mashup

  • compare · Jul 16, 2026

    Gemini vs GPT: long context versus the OpenAI flagship invoice

  • launch · Jul 15, 2026

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

Similar Head-to-Head Comparisons

All Google: Gemini 2.5 Pro (batch) matchups →|All Gemini 3.6 Pro matchups →
Gemini 3.6 Pro vs Gemini 3 Pro (previous gemini-pro)Gemini 3 Flash vs Gemini 3.6 ProGemini 2.0 Flash Thinking vs Gemini 3.6 ProGemini 3.6 Flash vs Gemini 3.6 ProGemini 3.7 Flash vs Gemini 3.6 ProGemini 2.5 Pro vs Gemini 3.6 Pro