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Every score has a dated snapshot.

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  3. Gemini 1.5 Pro vs OpenAI: GPT-5.6 Terra Pro

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

Gemini 1.5 Pro vs OpenAI: GPT-5.6 Terra Pro benchmark

In this head-to-head showdown, Gemini 1.5 Pro 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 Gemini 1.5 Pro and OpenAI: GPT-5.6 Terra 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

Gemini 1.5 Pro holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
Gemini 1.5 ProTop code solve rate
ReasoningGPQA / Live
Gemini 1.5 ProTop logical accuracy
Best Value$/1M Tok
Gemini 1.5 ProLowest API billing cost
Speed / TokTok/Sec
Gemini 1.5 ProFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Gemini 1.5 Pro (2)OpenAI: GPT-5.6 Terra Pro (1)
Gemini 1.5 Pro
2 of 3 Wins
✓Output price✓Context window
OpenAI: GPT-5.6 Terra Pro
1 of 3 Wins
✓Input price
Google
Leads 2 of 3
Gemini 1.5 Pro

First million-token Gemini Pro. Baseline for 1.5 vs 2.5 vs 3.x Pro.

Elo 1,260In: $1.25 · Out: $5/1M
OpenAI
Leads 1 of 3
OpenAI: GPT-5.6 Terra Pro

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

In: $1 · Out: $6/1M
Top Rival Showdowns for Gemini 1.5 Pro
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 1.5 Pro Wins

Gemini 1.5 Pro

$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.

Gemini 1.5 Pro (8)vsOpenAI: GPT-5.6 Terra Pro (1)
Gemini 1.5 Pro: 8W (89%)Overall: Gemini 1.5 ProOpenAI: GPT-5.6 Terra Pro: 1W (11%)
← Gemini 1.5 ProOpenAI: GPT-5.6 Terra Pro →
🏆Gemini 1.5 Pro Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Gemini 1.5 ProvsOpenAI: GPT-5.6 Terra Pro
Preference Elo
1,260vs—
Coding Elo
—vs—
SWE-bench
38%vs—
LiveBench
49.2%vs—
GPQA Diamond
58%vs—
Gemini 1.5 Pro: 4WOpenAI: GPT-5.6 Terra Pro: 0W
🏆Gemini 1.5 Pro Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Gemini 1.5 ProvsOpenAI: GPT-5.6 Terra Pro
Output speed
70 tok/svs—
Time to first token
240 msvs—
Gemini 1.5 Pro: 2WOpenAI: GPT-5.6 Terra Pro: 0W
🏆Gemini 1.5 Pro Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Gemini 1.5 ProvsOpenAI: GPT-5.6 Terra Pro
Output price
$5/1Mvs$6/1M+$1/1M
Input price
$1.25/1Mvs$1/1M+$0.25/1M
Context window
2Mvs1.1M+950k
Gemini 1.5 Pro: 2WOpenAI: GPT-5.6 Terra Pro: 1W

Side-by-Side Benchmark Matrix

Gemini 1.5 ProOpenAI: GPT-5.6 Terra Pro
Preference Elo
Gemini 1.5 Pro1,260
OpenAI: GPT-5.6 Terra Pro—
LiveBench
Gemini 1.5 Pro49.2%
OpenAI: GPT-5.6 Terra Pro—
SWE-bench
Gemini 1.5 Pro38%
OpenAI: GPT-5.6 Terra Pro—
GPQA Diamond
Gemini 1.5 Pro58%
OpenAI: GPT-5.6 Terra Pro—
Time to first token
Gemini 1.5 Pro240 ms
OpenAI: GPT-5.6 Terra Pro—
Output speed
Gemini 1.5 Pro70 tok/s
OpenAI: GPT-5.6 Terra Pro—
Input priceOpenAI: GPT-5.6 Terra Pro +$0.25/1M
Gemini 1.5 Pro$1.25/1M
OpenAI: GPT-5.6 Terra Pro$1/1M
Output priceGemini 1.5 Pro +$1/1M
Gemini 1.5 Pro$5/1M
OpenAI: GPT-5.6 Terra Pro$6/1M
Context windowGemini 1.5 Pro +950k
Gemini 1.5 Pro2M
OpenAI: GPT-5.6 Terra Pro1.1M
BenchmarkGemini 1.5 ProOpenAI: GPT-5.6 Terra ProAdvantage Delta
Preference Elo
1,260
lmarena · Aug 17, 2026
——
LiveBench
49.2%
livebench · Aug 17, 2026
——
SWE-bench
38%
swebench · Aug 17, 2026
——
GPQA Diamond
58%
seed-bootstrap · Aug 1, 2026
——
Time to first token
240 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
70 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$1.25/1M
seed-bootstrap · Aug 1, 2026
$1/1M
openrouter · Aug 17, 2026
+$0.25/1M
Output price
$5/1M
seed-bootstrap · Aug 1, 2026
$6/1M
openrouter · Aug 17, 2026
+$1/1M
Context window
2M
seed-bootstrap · Aug 1, 2026
1.1M
openrouter · Aug 17, 2026
+950k

Workload Cost & Savings Calculator

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

Save 5% with Gemini 1.5 Pro
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Gemini 1.5 Pro$118.75 / mo
In: $43.75Out: $75
OpenAI: GPT-5.6 Terra Pro$125.00 / mo
In: $35Out: $90
Estimated Cost Delta

Gemini 1.5 Pro is estimated to save $6.25/month ($75/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro when you are optimizing output cost.
  • 2
    Gemini 1.5 Pro:Pick Gemini 1.5 Pro for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGemini 1.5 Pro

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionGemini 1.5 Pro

Gemini 1.5 Pro is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGemini 1.5 ProLower output list price ($5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGemini 1.5 ProLarger window (2M).
Screenshots / visionGemini 1.5 ProGemini 1.5 Pro is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Google

Gemini 1.5 Pro

Elo 1,260
SWE-bench38%
Speed (tok/s)70 tok/s
Input / 1M Tokens$1.25/1M
Output / 1M Tokens$5/1M
OpenAI

OpenAI: GPT-5.6 Terra Pro

Elo n/a
SWE-bench—
Speed (tok/s)1.1M
Input / 1M Tokens$1/1M
Output / 1M Tokens$6/1M

Frequently Asked Questions

Which is better overall, Gemini 1.5 Pro or OpenAI: GPT-5.6 Terra 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, Gemini 1.5 Pro or OpenAI: GPT-5.6 Terra 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?
Gemini 1.5 Pro output tokens are $5/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 1.5 Pro or OpenAI: GPT-5.6 Terra Pro?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 1.5 Pro accepts 2M tokens versus 1.1M.
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 1.5 Pro and OpenAI: GPT-5.6 Terra Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 1.5 Pro matchups →|All OpenAI: GPT-5.6 Terra Pro matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)GPT-5 vs Gemini 1.5 ProGemini 3 Pro vs Gemini 1.5 ProGemini 3 Flash vs Gemini 1.5 ProGPT-4.5 Orion vs Gemini 1.5 ProGemini 2.0 Flash Thinking vs Gemini 1.5 Pro