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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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  3. Claude Opus 5 (batch) vs Gemini 1.5 Pro

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

Claude Opus 5 (batch) vs Gemini 1.5 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: Choose Claude Opus 5 (batch) if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Gemini 1.5 Pro if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Anthropic
Claude Opus 5 (batch)

Auto-discovered from OpenRouter (anthropic/claude-opus-5:batch). Preview until a second source matches.

$12.5/1M out
Google
Gemini 1.5 Pro

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

Elo 1,260$5/1M out
Top Rival Showdowns for Claude Opus 5 (batch)
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs 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 Leader

Gemini 1.5 Pro

$5 / 1M output

Capability Percentiles

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

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageGemini 1.5 Pro 6/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Claude Opus 5 (batch) (0)vsGemini 1.5 Pro (9)
Claude Opus 5 (batch): 0W (0%)Overall: Gemini 1.5 ProGemini 1.5 Pro: 9W (100%)
← Claude Opus 5 (batch)Gemini 1.5 Pro →
Gemini 1.5 Pro (4/5)

Intelligence & Reasoning

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

Preference Elo
—vs1,260
Coding Elo
—vs—
SWE-bench
—vs38%
LiveBench
—vs49.2%
GPQA Diamond
—vs58%
Claude Opus 5 (batch): 0WGemini 1.5 Pro: 4W
Gemini 1.5 Pro (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
—vs70 tok/s
Time to first token
—vs240 ms
Claude Opus 5 (batch): 0WGemini 1.5 Pro: 2W
Gemini 1.5 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$12.5/1Mvs$5/1M
Input price
$2.5/1Mvs$1.25/1M
Context window
1Mvs2M
Claude Opus 5 (batch): 0WGemini 1.5 Pro: 3W

Side-by-Side Benchmark Matrix

Preference Elo
Claude Opus 5 (batch)—
Gemini 1.5 Pro1,260
lmarena · Aug 17, 2026
LiveBench
Claude Opus 5 (batch)—
Gemini 1.5 Pro49.2%
livebench · Aug 17, 2026
SWE-bench
Claude Opus 5 (batch)—
Gemini 1.5 Pro38%
swebench · Aug 17, 2026
GPQA Diamond
Claude Opus 5 (batch)—
Gemini 1.5 Pro58%
seed-bootstrap · Aug 1, 2026
Time to first token
Claude Opus 5 (batch)—
Gemini 1.5 Pro240 ms
seed-bootstrap · Aug 1, 2026
Output speed
Claude Opus 5 (batch)—
Gemini 1.5 Pro70 tok/s
seed-bootstrap · Aug 1, 2026
Input priceGemini 1.5 Pro (+$1.25/1M)
Claude Opus 5 (batch)$2.5/1M
openrouter · Aug 17, 2026
Gemini 1.5 Pro$1.25/1M
seed-bootstrap · Aug 1, 2026
Output priceGemini 1.5 Pro (+$7.5/1M)
Claude Opus 5 (batch)$12.5/1M
openrouter · Aug 17, 2026
Gemini 1.5 Pro$5/1M
seed-bootstrap · Aug 1, 2026
Context windowGemini 1.5 Pro (+1M)
Claude Opus 5 (batch)1M
openrouter · Aug 17, 2026
Gemini 1.5 Pro2M
seed-bootstrap · Aug 1, 2026
BenchmarkClaude Opus 5 (batch)Gemini 1.5 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
$2.5/1M
openrouter · Aug 17, 2026
$1.25/1M
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro (+$1.25/1M)
Output price
$12.5/1M
openrouter · Aug 17, 2026
$5/1M
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro (+$7.5/1M)
Context window
1M
openrouter · Aug 17, 2026
2M
seed-bootstrap · Aug 1, 2026
Gemini 1.5 Pro (+1M)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 57% 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)
Claude Opus 5 (batch)$275.00 / mo
In: $87.5Out: $187.5
Gemini 1.5 Pro$118.75 / mo
In: $43.75Out: $75
Estimated Cost Delta

Gemini 1.5 Pro is estimated to save $156.25/month ($1,875/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.
Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Anthropic

Claude Opus 5 (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$12.5/1M
Google

Gemini 1.5 Pro

Elo 1,260
LiveBench49.2%
SWE-bench38%
Speed70 tok/s
Output cost$5/1M

Frequently Asked Questions

Which is better overall, Claude Opus 5 (batch) or Gemini 1.5 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, Claude Opus 5 (batch) or Gemini 1.5 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 $12.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 5 (batch) or Gemini 1.5 Pro?
We do not have TTFT for both models.
Which has the larger context window?
Gemini 1.5 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. Claude Opus 5 (batch) and Gemini 1.5 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 5 (batch) matchups →|All Gemini 1.5 Pro matchups →
Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Claude Opus 4.5 vs Gemini 1.5 ProClaude Opus 4.6 vs Gemini 1.5 ProClaude Sonnet 4.5 vs Gemini 1.5 ProGemini 3 Pro vs Gemini 1.5 ProGemini 3 Flash vs Gemini 1.5 Pro