Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4 vs Gemini 1.5 Pro benchmark

Name: Claude Opus 4 vs Gemini 1.5 Pro AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4 (Anthropic) and Gemini 1.5 Pro (Google) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4 is ahead by 230 points (1,490 vs 1,260; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4 resolves 72.5% versus 38% (seed-bootstrap (Aug 1, 2026)). Gemini 1.5 Pro streams faster (70 tok/s) while Gemini 1.5 Pro is the cheaper output token ($5/1M). Gemini 1.5 Pro has the larger context window (2M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Anthropic

Claude Opus 4

First Claude 4 Opus generation. Baseline for opus 4 vs opus 5.

Elo 1,490$75/1M 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

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Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (5)vsGemini 1.5 Pro (5)

Claude Opus 4: 5W (50%)Overall: Even matchupGemini 1.5 Pro: 5W (50%)

← Claude Opus 4Gemini 1.5 Pro →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,260

Coding Elo

1,502vs—

SWE-bench

72.5%vs38%

LiveBench

66.8%vs49.2%

GPQA Diamond

80.4%vs58%

Claude Opus 4: 5WGemini 1.5 Pro: 0W

Gemini 1.5 Pro (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs70 tok/s

Time to first token

390 msvs240 ms

Claude Opus 4: 0WGemini 1.5 Pro: 2W

Gemini 1.5 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$5/1M

Input price

$15/1Mvs$1.25/1M

Context window

200kvs2M

Claude Opus 4: 0WGemini 1.5 Pro: 3W

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 AdvantageEven 3–3

Preference Elo

Claude Opus 4

230 pts advantage

Throughput Speed

Gemini 1.5 Pro

12 tok/s faster

Price Efficiency

Gemini 1.5 Pro

$70.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+18%1,490

EloHigh is better

1,260

Code Elo

High is better

1,502

Code EloHigh is better

—

LiveBench

High is better

+36%66.8%

LiveBenchHigh is better

49.2%

SWE-bench

High is better

+91%72.5%

SWE-benchHigh is better

38%

GPQA

High is better

+39%80.4%

GPQAHigh is better

58%

TTFT

Low is better

390 ms

TTFTLow is better

240 ms+63%

Speed

High is better

58 tok/s

SpeedHigh is better

70 tok/s+21%

In $

Low is better

$15/1M

In $Low is better

$1.25/1M+1100%

Out $

Low is better

$75/1M

Out $Low is better

$5/1M+1400%

Context

High is better

200k

ContextHigh is better

2M+900%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 93% 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 4$1,650.00 / mo

In: $525.00Out: $1125.00

Gemini 1.5 Pro$118.75 / mo

In: $43.75Out: $75.00

Estimated Cost Delta

Gemini 1.5 Pro is estimated to save $1,531.25/month ($18,375/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4:Pick Claude Opus 4 when repo-level coding accuracy is the constraint.
2
Gemini 1.5 Pro:Pick Gemini 1.5 Pro when you are optimizing output cost.
3
Gemini 1.5 Pro:Pick Gemini 1.5 Pro when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

High-volume chatGemini 1.5 Pro

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

Voice / low-latency UIGemini 1.5 Pro

Lower TTFT (240 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionClaude Opus 4

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
High-volume chat	Gemini 1.5 Pro	Lower output list price ($5/1M).
Voice / low-latency UI	Gemini 1.5 Pro	Lower TTFT (240 ms).
Long-document RAG	Gemini 1.5 Pro	Larger window (2M).
Screenshots / vision	Claude Opus 4	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

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CompareLLM Matrix

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LIVE

Anthropic

Claude Opus 4

Elo 1,490

LiveBench66.8%

SWE-bench72.5%

Speed58 tok/s

Output cost$75/1M

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 4 or Gemini 1.5 Pro?: Claude Opus 4 has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4 or Gemini 1.5 Pro?: Claude Opus 4 leads SWE-bench at 72.5% vs 38%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Gemini 1.5 Pro output tokens are $5/1M versus $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or Gemini 1.5 Pro?: Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 390 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Gemini 1.5 Pro accepts 2M 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. Claude Opus 4 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 4 matchups →|All Gemini 1.5 Pro matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Gemini 2.0 Flash Thinking vs Claude Opus 4 Gemini 3 Flash vs Claude Opus 4 Gemini 3.6 Flash vs Claude Opus 4

Claude Opus 4 vs Gemini 1.5 Pro benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (5)vsGemini 1.5 Pro (5)

Claude Opus 4: 5W (50%)Overall: Even matchupGemini 1.5 Pro: 5W (50%)

← Claude Opus 4Gemini 1.5 Pro →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,260

Coding Elo

1,502vs—

SWE-bench

72.5%vs38%

LiveBench

66.8%vs49.2%

GPQA Diamond

80.4%vs58%

Claude Opus 4: 5WGemini 1.5 Pro: 0W

Gemini 1.5 Pro (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs70 tok/s

Time to first token

390 msvs240 ms

Claude Opus 4: 0WGemini 1.5 Pro: 2W

Gemini 1.5 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$5/1M

Input price

$15/1Mvs$1.25/1M

Context window

200kvs2M

Claude Opus 4: 0WGemini 1.5 Pro: 3W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

High-volume chatGemini 1.5 Pro

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

Voice / low-latency UIGemini 1.5 Pro

Lower TTFT (240 ms).

Long-document RAGGemini 1.5 Pro

Larger window (2M).

Screenshots / visionClaude Opus 4

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
High-volume chat	Gemini 1.5 Pro	Lower output list price ($5/1M).
Voice / low-latency UI	Gemini 1.5 Pro	Lower TTFT (240 ms).
Long-document RAG	Gemini 1.5 Pro	Larger window (2M).
Screenshots / vision	Claude Opus 4	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Gemini 1.5 Pro?

Claude Opus 4 has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4 or Gemini 1.5 Pro?

Claude Opus 4 leads SWE-bench at 72.5% vs 38%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Gemini 1.5 Pro output tokens are $5/1M versus $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or Gemini 1.5 Pro?

Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 390 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Gemini 1.5 Pro accepts 2M 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. Claude Opus 4 and Gemini 1.5 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.