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

Claude 3.5 Sonnet vs Google: Gemma 4 26B A4B benchmark

Name: Claude 3.5 Sonnet vs Google: Gemma 4 26B A4B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.5 Sonnet (Anthropic) and Google: Gemma 4 26B A4B (Google) using the latest snapshots we have as of Aug 17, 2026. Google: Gemma 4 26B A4B wins on output price at $0.34/1M. Google: Gemma 4 26B A4B has the larger context window (262k 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

Google: Gemma 4 26B A4B

Auto-discovered from OpenRouter (google/gemma-4-26b-a4b-it). Preview until a second source matches.

$0.33999999999999997/1M 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 (6)vsGoogle: Gemma 4 26B A4B (3)

Claude 3.5 Sonnet: 6W (67%)Overall: Claude 3.5 SonnetGoogle: Gemma 4 26B A4B : 3W (33%)

← Claude 3.5 SonnetGoogle: Gemma 4 26B A4B →

Claude 3.5 Sonnet (4/5)

Intelligence & Reasoning

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

Preference Elo

1,280vs—

Coding Elo

—vs—

SWE-bench

49%vs—

LiveBench

52.1%vs—

GPQA Diamond

65%vs—

Claude 3.5 Sonnet: 4WGoogle: Gemma 4 26B A4B : 0W

Claude 3.5 Sonnet (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

80 tok/svs—

Time to first token

280 msvs—

Claude 3.5 Sonnet: 2WGoogle: Gemma 4 26B A4B : 0W

Google: Gemma 4 26B A4B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.34/1M

Input price

$3/1Mvs$0.07/1M

Context window

200kvs262k

Claude 3.5 Sonnet: 0WGoogle: Gemma 4 26B A4B : 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 AdvantageClaude 3.5 Sonnet 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Google: Gemma 4 26B A4B

$14.66/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,280

EloHigh is better

—

LiveBench

High is better

52.1%

LiveBenchHigh is better

—

SWE-bench

High is better

49%

SWE-benchHigh is better

—

GPQA

High is better

65%

GPQAHigh is better

—

TTFT

Low is better

280 ms

TTFTLow is better

—

Speed

High is better

80 tok/s

SpeedHigh is better

—

In $

Low is better

$3.00 / 1M

In $Low is better

$0.07 / 1M+4186%

Out $

Low is better

$15.00 / 1M

Out $Low is better

$0.34 / 1M+4312%

Context

High is better

200k

ContextHigh is better

262k+31%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 98% with Google: Gemma 4 26B A4B

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

Google: Gemma 4 26B A4B $7.55 / mo

In: $2.45Out: $5.1

Estimated Cost Delta

Google: Gemma 4 26B A4B is estimated to save $322.45/month ($3,869/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Google: Gemma 4 26B A4B :Pick Google: Gemma 4 26B A4B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemma 4 26B A4B

Lower output list price ($0.34/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemma 4 26B A4B

Larger window (262k).

Screenshots / visionClaude 3.5 Sonnet

Claude 3.5 Sonnet is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemma 4 26B A4B	Lower output list price ($0.34/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemma 4 26B A4B	Larger window (262k).
Screenshots / vision	Claude 3.5 Sonnet	Claude 3.5 Sonnet is the side marked multimodal in the catalog.

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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

Google: Gemma 4 26B A4B

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.34/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or Google: Gemma 4 26B A4B ?: 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 3.5 Sonnet or Google: Gemma 4 26B A4B ?: 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?: Google: Gemma 4 26B A4B output tokens are $0.34/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Sonnet or Google: Gemma 4 26B A4B ?: We do not have TTFT for both models.
Which has the larger context window?: Google: Gemma 4 26B A4B accepts 262k 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 Google: Gemma 4 26B A4B 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 Google: Gemma 4 26B A4B matchups →

Claude 3.5 Sonnet vs Claude 3.7 Sonnet (next sonnet)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 Gemini 3 Flash vs Claude 3.5 Sonnet

Claude 3.5 Sonnet vs Google: Gemma 4 26B A4B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.5 Sonnet (6)vsGoogle: Gemma 4 26B A4B (3)

Claude 3.5 Sonnet: 6W (67%)Overall: Claude 3.5 SonnetGoogle: Gemma 4 26B A4B : 3W (33%)

← Claude 3.5 SonnetGoogle: Gemma 4 26B A4B →

Claude 3.5 Sonnet (4/5)

Intelligence & Reasoning

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

Preference Elo

1,280vs—

Coding Elo

—vs—

SWE-bench

49%vs—

LiveBench

52.1%vs—

GPQA Diamond

65%vs—

Claude 3.5 Sonnet: 4WGoogle: Gemma 4 26B A4B : 0W

Claude 3.5 Sonnet (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

80 tok/svs—

Time to first token

280 msvs—

Claude 3.5 Sonnet: 2WGoogle: Gemma 4 26B A4B : 0W

Google: Gemma 4 26B A4B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$15/1Mvs$0.34/1M

Input price

$3/1Mvs$0.07/1M

Context window

200kvs262k

Claude 3.5 Sonnet: 0WGoogle: Gemma 4 26B A4B : 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemma 4 26B A4B

Lower output list price ($0.34/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemma 4 26B A4B

Larger window (262k).

Screenshots / visionClaude 3.5 Sonnet

Claude 3.5 Sonnet is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemma 4 26B A4B	Lower output list price ($0.34/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Google: Gemma 4 26B A4B	Larger window (262k).
Screenshots / vision	Claude 3.5 Sonnet	Claude 3.5 Sonnet is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or Google: Gemma 4 26B A4B ?

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 3.5 Sonnet or Google: Gemma 4 26B A4B ?

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?

Google: Gemma 4 26B A4B output tokens are $0.34/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.5 Sonnet or Google: Gemma 4 26B A4B ?

We do not have TTFT for both models.

Which has the larger context window?

Google: Gemma 4 26B A4B accepts 262k 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 Google: Gemma 4 26B A4B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.