Pairwise benchmark snapshot · Aug 17, 2026

Claude 3.5 Sonnet vs Gemini 1.5 Pro benchmark

Name: Claude 3.5 Sonnet vs Gemini 1.5 Pro AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.5 Sonnet (Anthropic) and Gemini 1.5 Pro (Google) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Claude 3.5 Sonnet is ahead by 20 points (1,280 vs 1,260; lmarena (Aug 17, 2026)). On SWE-bench coding, Claude 3.5 Sonnet resolves 49% versus 38% (swebench (Aug 17, 2026)). Claude 3.5 Sonnet streams faster (80 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 3.5 Sonnet

2024 workhorse. Still a high-intent compare against GPT-4o.

Elo 1,280$15/1M 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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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 3.5 Sonnet (5)vsGemini 1.5 Pro (4)

Claude 3.5 Sonnet: 5W (56%)Overall: Claude 3.5 SonnetGemini 1.5 Pro: 4W (44%)

← Claude 3.5 SonnetGemini 1.5 Pro →

Claude 3.5 Sonnet (4/5)

Intelligence & Reasoning

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

Preference Elo

1,280vs1,260

Coding Elo

—vs—

SWE-bench

49%vs38%

LiveBench

52.1%vs49.2%

GPQA Diamond

65%vs58%

Claude 3.5 Sonnet: 4WGemini 1.5 Pro: 0W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

80 tok/svs70 tok/s

Time to first token

280 msvs240 ms

Claude 3.5 Sonnet: 1WGemini 1.5 Pro: 1W

Gemini 1.5 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$5/1M

Input price

$3/1Mvs$1.25/1M

Context window

200kvs2M

Claude 3.5 Sonnet: 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 3.5 Sonnet

20 pts advantage

Throughput Speed

Claude 3.5 Sonnet

10 tok/s faster

Token Price Efficiency

Gemini 1.5 Pro

$10.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+2%1,280

EloHigh is better

1,260

LiveBench

High is better

+6%52.1%

LiveBenchHigh is better

49.2%

SWE-bench

High is better

+29%49%

SWE-benchHigh is better

38%

GPQA

High is better

+12%65%

GPQAHigh is better

58%

TTFT

Low is better

280 ms

TTFTLow is better

240 ms+17%

Speed

High is better

+14%80 tok/s

SpeedHigh is better

70 tok/s

In $

Low is better

$3.00 / 1M

In $Low is better

$1.25 / 1M+140%

Out $

Low is better

$15.00 / 1M

Out $Low is better

$5.00 / 1M+200%

Context

High is better

200k

ContextHigh is better

2M+900%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 64% 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 3.5 Sonnet$330.00 / mo

In: $105Out: $225

Gemini 1.5 Pro$118.75 / mo

In: $43.75Out: $75

Estimated Cost Delta

Gemini 1.5 Pro is estimated to save $211.25/month ($2,535/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude 3.5 Sonnet:Pick Claude 3.5 Sonnet 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 3.5 Sonnet

Higher SWE-bench (49%).

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 3.5 Sonnet

Both accept images. Defaulting to the higher-Elo side (Claude 3.5 Sonnet).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude 3.5 Sonnet	Higher SWE-bench (49%).
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 3.5 Sonnet	Both accept images. Defaulting to the higher-Elo side (Claude 3.5 Sonnet).

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LIVE

Anthropic

Claude 3.5 Sonnet

Elo 1,280

LiveBench52.1%

SWE-bench49%

Speed80 tok/s

Output cost$15/1M

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 3.5 Sonnet or Gemini 1.5 Pro?: Claude 3.5 Sonnet has the higher preference Elo in our latest snapshot (1,280). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.5 Sonnet or Gemini 1.5 Pro?: Claude 3.5 Sonnet leads SWE-bench at 49% 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 $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Sonnet or Gemini 1.5 Pro?: Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 280 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 3.5 Sonnet 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 3.5 Sonnet matchups →|All Gemini 1.5 Pro matchups →

Claude 3.5 Sonnet vs Claude 3.7 Sonnet (next sonnet)Gemini 1.5 Pro vs Gemini 2.5 Pro (next gemini-pro)Claude Opus 4.5 vs Claude 3.5 Sonnet Claude Opus 4.6 vs Claude 3.5 Sonnet Claude Sonnet 4.5 vs Claude 3.5 Sonnet Gemini 3 Pro vs Claude 3.5 Sonnet

Claude 3.5 Sonnet 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 3.5 Sonnet (5)vsGemini 1.5 Pro (4)

Claude 3.5 Sonnet: 5W (56%)Overall: Claude 3.5 SonnetGemini 1.5 Pro: 4W (44%)

← Claude 3.5 SonnetGemini 1.5 Pro →

Claude 3.5 Sonnet (4/5)

Intelligence & Reasoning

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

Preference Elo

1,280vs1,260

Coding Elo

—vs—

SWE-bench

49%vs38%

LiveBench

52.1%vs49.2%

GPQA Diamond

65%vs58%

Claude 3.5 Sonnet: 4WGemini 1.5 Pro: 0W

Tied (1/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

80 tok/svs70 tok/s

Time to first token

280 msvs240 ms

Claude 3.5 Sonnet: 1WGemini 1.5 Pro: 1W

Gemini 1.5 Pro (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$5/1M

Input price

$3/1Mvs$1.25/1M

Context window

200kvs2M

Claude 3.5 Sonnet: 0WGemini 1.5 Pro: 3W

Recommended Workload Routing

Repo / coding agentsClaude 3.5 Sonnet

Higher SWE-bench (49%).

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 3.5 Sonnet

Both accept images. Defaulting to the higher-Elo side (Claude 3.5 Sonnet).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude 3.5 Sonnet	Higher SWE-bench (49%).
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 3.5 Sonnet	Both accept images. Defaulting to the higher-Elo side (Claude 3.5 Sonnet).

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or Gemini 1.5 Pro?

Claude 3.5 Sonnet has the higher preference Elo in our latest snapshot (1,280). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude 3.5 Sonnet or Gemini 1.5 Pro?

Claude 3.5 Sonnet leads SWE-bench at 49% 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 $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.5 Sonnet or Gemini 1.5 Pro?

Gemini 1.5 Pro has the lower time-to-first-token (240 ms vs 280 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 3.5 Sonnet and Gemini 1.5 Pro Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.