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Every score has a dated snapshot.

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  3. Gemini 2.5 Flash vs OpenAI: GPT-5.6 Sol Pro (batch)

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

Gemini 2.5 Flash vs OpenAI: GPT-5.6 Sol Pro (batch) benchmark

In this head-to-head showdown, Gemini 2.5 Flash is more budget-friendly at $2.5/1M 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 Gemini 2.5 Flash and OpenAI: GPT-5.6 Sol Pro (batch) present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Verified Head-to-Head Advantage Breakdown

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

Gemini 2.5 Flash (2)OpenAI: GPT-5.6 Sol Pro (batch) (1)
Gemini 2.5 Flash
2 of 3 Wins
✓Input price✓Output price
OpenAI: GPT-5.6 Sol Pro (batch)
1 of 3 Wins
✓Context window
Google
Leads 2 of 3 metrics
Gemini 2.5 Flash

Previous Google speed workhorse.

2.5 FlashElo 1,295$2.5/1M out
OpenAI
Leads 1 of 3 metrics
OpenAI: GPT-5.6 Sol Pro (batch)

Auto-discovered from OpenRouter (openai/gpt-5.6-sol-pro:batch). Preview until a second source matches.

$15/1M out

Gemini 2.5 Series Lineage & Sibling Variants

2 models

Currently comparing Gemini 2.5 Flash vs OpenAI: GPT-5.6 Sol Pro (batch). Alternative family tiers available.

Active: Gemini 2.5 Flash
Gemini 2.5 Pro$10
Top Rival Showdowns for Gemini 2.5 Flash
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 LeaderGemini 2.5 Flash Wins

Gemini 2.5 Flash

$2.5 / 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 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
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

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

Gemini 2.5 Flash (8)vsOpenAI: GPT-5.6 Sol Pro (batch) (1)
Gemini 2.5 Flash: 8W (89%)Overall: Gemini 2.5 FlashOpenAI: GPT-5.6 Sol Pro (batch): 1W (11%)
← Gemini 2.5 FlashOpenAI: GPT-5.6 Sol Pro (batch) →
🏆Gemini 2.5 Flash(4/5)

Intelligence & Reasoning

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

Benchmark
Gemini 2.5 FlashvsOpenAI: GPT-5.6 Sol Pro (batch)
Preference Elo
1,295vs—
Coding Elo
—vs—
SWE-bench
48%vs—
LiveBench
51.4%vs—
GPQA Diamond
68.2%vs—
Gemini 2.5 Flash: 4WOpenAI: GPT-5.6 Sol Pro (batch): 0W
🏆Gemini 2.5 Flash(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 2.5 FlashvsOpenAI: GPT-5.6 Sol Pro (batch)
Output speed
185 tok/svs—
Time to first token
110 msvs—
Gemini 2.5 Flash: 2WOpenAI: GPT-5.6 Sol Pro (batch): 0W
🏆Gemini 2.5 Flash(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 2.5 FlashvsOpenAI: GPT-5.6 Sol Pro (batch)
Output price
$2.5/1Mvs$15/1M+$12.5/1M
Input price
$0.3/1Mvs$2.5/1M+$2.2/1M
Context window
1Mvs1.1M+1k
Gemini 2.5 Flash: 2WOpenAI: GPT-5.6 Sol Pro (batch): 1W

Side-by-Side Benchmark Matrix

Preference Elo
Gemini 2.5 Flash1,295
lmarena · Aug 17, 2026
OpenAI: GPT-5.6 Sol Pro (batch)—
LiveBench
Gemini 2.5 Flash51.4%
livebench · Aug 17, 2026
OpenAI: GPT-5.6 Sol Pro (batch)—
SWE-bench
Gemini 2.5 Flash48%
swebench · Aug 17, 2026
OpenAI: GPT-5.6 Sol Pro (batch)—
GPQA Diamond
Gemini 2.5 Flash68.2%
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Sol Pro (batch)—
Time to first token
Gemini 2.5 Flash110 ms
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Sol Pro (batch)—
Output speed
Gemini 2.5 Flash185 tok/s
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Sol Pro (batch)—
Input price+$2.2/1M
Gemini 2.5 Flash$0.3/1M
openrouter · Aug 17, 2026
OpenAI: GPT-5.6 Sol Pro (batch)$2.5/1M
openrouter · Aug 17, 2026
Output price+$12.5/1M
Gemini 2.5 Flash$2.5/1M
openrouter · Aug 17, 2026
OpenAI: GPT-5.6 Sol Pro (batch)$15/1M
openrouter · Aug 17, 2026
Context window+1k
Gemini 2.5 Flash1M
openrouter · Aug 17, 2026
OpenAI: GPT-5.6 Sol Pro (batch)1.1M
openrouter · Aug 17, 2026
BenchmarkGemini 2.5 FlashOpenAI: GPT-5.6 Sol Pro (batch)Advantage Delta
Preference Elo
1,295
lmarena · Aug 17, 2026
——
LiveBench
51.4%
livebench · Aug 17, 2026
——
SWE-bench
48%
swebench · Aug 17, 2026
——
GPQA Diamond
68.2%
seed-bootstrap · Aug 1, 2026
——
Time to first token
110 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
185 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$0.3/1M
openrouter · Aug 17, 2026
$2.5/1M
openrouter · Aug 17, 2026
+$2.2/1M
Output price
$2.5/1M
openrouter · Aug 17, 2026
$15/1M
openrouter · Aug 17, 2026
+$12.5/1M
Context window
1M
openrouter · Aug 17, 2026
1.1M
openrouter · Aug 17, 2026
+1k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 85% with Gemini 2.5 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 2.5 Flash$48.00 / mo
In: $10.5Out: $37.5
OpenAI: GPT-5.6 Sol Pro (batch)$312.50 / mo
In: $87.5Out: $225
Estimated Cost Delta

Gemini 2.5 Flash is estimated to save $264.50/month ($3,174/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 2.5 Flash:Pick Gemini 2.5 Flash when you are optimizing output cost.
  • 2
    OpenAI: GPT-5.6 Sol Pro (batch):Pick OpenAI: GPT-5.6 Sol Pro (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGemini 2.5 Flash

Lower output list price ($2.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: GPT-5.6 Sol Pro (batch)

Larger window (1.1M).

Screenshots / visionGemini 2.5 Flash

Gemini 2.5 Flash is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGemini 2.5 FlashLower output list price ($2.5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGOpenAI: GPT-5.6 Sol Pro (batch)Larger window (1.1M).
Screenshots / visionGemini 2.5 FlashGemini 2.5 Flash is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchMar 25, 2025

Gemini 2.5 Flash: previous Google speed workhorse, still a baseline

Useful as a cheap historical compare. 3.7 Flash is the 2026 volume SKU.

Community Sentiment

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 2.5 Flash

Elo 1,295
SWE-bench48%
Speed (tok/s)185 tok/s
Input / 1M Tokens$0.3/1M
Output / 1M Tokens$2.5/1M
OpenAI

OpenAI: GPT-5.6 Sol Pro (batch)

Elo n/a
SWE-bench—
Speed (tok/s)1.1M
Input / 1M Tokens$2.5/1M
Output / 1M Tokens$15/1M

Frequently Asked Questions

Which is better overall, Gemini 2.5 Flash or OpenAI: GPT-5.6 Sol Pro (batch)?
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, Gemini 2.5 Flash or OpenAI: GPT-5.6 Sol Pro (batch)?
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?
Gemini 2.5 Flash output tokens are $2.5/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 2.5 Flash or OpenAI: GPT-5.6 Sol Pro (batch)?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: GPT-5.6 Sol Pro (batch) accepts 1.1M 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. Gemini 2.5 Flash and OpenAI: GPT-5.6 Sol Pro (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Mar 25, 2025

    Gemini 2.5 Flash: previous Google speed workhorse, still a baseline

Similar Head-to-Head Comparisons

All Gemini 2.5 Flash matchups →|All OpenAI: GPT-5.6 Sol Pro (batch) matchups →
Gemini 2.5 Flash vs Gemini 2.0 Flash Thinking (previous gemini-flash)Gemini 2.5 Flash vs Gemini 3 Flash (next gemini-flash)GPT-5 vs Gemini 2.5 FlashGemini 3 Pro vs Gemini 2.5 FlashGPT-4.5 Orion vs Gemini 2.5 FlashGPT-5.6 Sol vs Gemini 2.5 Flash