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  3. Claude Sonnet 4 vs Google: Gemini 3.1 Pro Preview (batch)

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

Claude Sonnet 4 vs Google: Gemini 3.1 Pro Preview (batch) benchmark

In this head-to-head showdown, Google: Gemini 3.1 Pro Preview (batch) is more budget-friendly at $6/1M 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 Sonnet 4 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Google: Gemini 3.1 Pro Preview (batch) if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Google: Gemini 3.1 Pro Preview (batch) holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
Claude Sonnet 4Top code solve rate
ReasoningGPQA / Live
Claude Sonnet 4Top logical accuracy
Best Value$/1M Tok
Google: Gemini 3.1 Pro Preview (batch)Lowest API billing cost
Speed / TokTok/Sec
Claude Sonnet 4Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Claude Sonnet 4 (0)Google: Gemini 3.1 Pro Preview (batch) (3)
Claude Sonnet 4
0 of 3 Wins
Competitive baseline across remaining benchmarks
Google: Gemini 3.1 Pro Preview (batch)
3 of 3 Wins
✓Input price✓Output price✓Context window
Anthropic
Claude Sonnet 4

First Sonnet 4 generation. Bridge between 3.5/3.7 and Sonnet 5.

Elo 1,455In: $3 · Out: $15/1M
Google
Leads 3 of 3
Google: Gemini 3.1 Pro Preview (batch)

Auto-discovered from OpenRouter (google/gemini-3.1-pro-preview:batch). Preview until a second source matches.

In: $1 · Out: $6/1M
Top Rival Showdowns for Claude Sonnet 4
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 LeaderGoogle: Gemini 3.1 Pro Preview (batch) Wins

Google: Gemini 3.1 Pro Preview (batch)

$6 / 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.

Claude Sonnet 4 (7)vsGoogle: Gemini 3.1 Pro Preview (batch) (3)
Claude Sonnet 4: 7W (70%)Overall: Claude Sonnet 4Google: Gemini 3.1 Pro Preview (batch): 3W (30%)
← Claude Sonnet 4Google: Gemini 3.1 Pro Preview (batch) →
🏆Claude Sonnet 4 Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Claude Sonnet 4vsGoogle: Gemini 3.1 Pro Preview (batch)
Preference Elo
1,455vs—
Coding Elo
1,468vs—
SWE-bench
62.8%vs—
LiveBench
63.2%vs—
GPQA Diamond
76.4%vs—
Claude Sonnet 4: 5WGoogle: Gemini 3.1 Pro Preview (batch): 0W
🏆Claude Sonnet 4 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude Sonnet 4vsGoogle: Gemini 3.1 Pro Preview (batch)
Output speed
92 tok/svs—
Time to first token
220 msvs—
Claude Sonnet 4: 2WGoogle: Gemini 3.1 Pro Preview (batch): 0W
🏆Google: Gemini 3.1 Pro Preview (batch) Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude Sonnet 4vsGoogle: Gemini 3.1 Pro Preview (batch)
Output price
$15/1Mvs$6/1M+$9/1M
Input price
$3/1Mvs$1/1M+$2/1M
Context window
1Mvs1M+49k
Claude Sonnet 4: 0WGoogle: Gemini 3.1 Pro Preview (batch): 3W

Side-by-Side Benchmark Matrix

Claude Sonnet 4Google: Gemini 3.1 Pro Preview (batch)
Preference Elo
Claude Sonnet 41,455
Google: Gemini 3.1 Pro Preview (batch)—
Coding Elo
Claude Sonnet 41,468
Google: Gemini 3.1 Pro Preview (batch)—
LiveBench
Claude Sonnet 463.2%
Google: Gemini 3.1 Pro Preview (batch)—
SWE-bench
Claude Sonnet 462.8%
Google: Gemini 3.1 Pro Preview (batch)—
GPQA Diamond
Claude Sonnet 476.4%
Google: Gemini 3.1 Pro Preview (batch)—
Time to first token
Claude Sonnet 4220 ms
Google: Gemini 3.1 Pro Preview (batch)—
Output speed
Claude Sonnet 492 tok/s
Google: Gemini 3.1 Pro Preview (batch)—
Input priceGoogle: Gemini 3.1 Pro Preview (batch) +$2/1M
Claude Sonnet 4$3/1M
Google: Gemini 3.1 Pro Preview (batch)$1/1M
Output priceGoogle: Gemini 3.1 Pro Preview (batch) +$9/1M
Claude Sonnet 4$15/1M
Google: Gemini 3.1 Pro Preview (batch)$6/1M
Context windowGoogle: Gemini 3.1 Pro Preview (batch) +49k
Claude Sonnet 41M
Google: Gemini 3.1 Pro Preview (batch)1M
BenchmarkClaude Sonnet 4Google: Gemini 3.1 Pro Preview (batch)Advantage Delta
Preference Elo
1,455
lmarena · Aug 17, 2026
——
Coding Elo
1,468
lmarena · Aug 17, 2026
——
LiveBench
63.2%
livebench · Aug 17, 2026
——
SWE-bench
62.8%
swebench · Aug 17, 2026
——
GPQA Diamond
76.4%
seed-bootstrap · Aug 1, 2026
——
Time to first token
220 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
92 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$3/1M
openrouter · Aug 17, 2026
$1/1M
openrouter · Aug 17, 2026
+$2/1M
Output price
$15/1M
openrouter · Aug 17, 2026
$6/1M
openrouter · Aug 17, 2026
+$9/1M
Context window
1M
openrouter · Aug 17, 2026
1M
openrouter · Aug 17, 2026
+49k

Workload Cost & Savings Calculator

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

Save 62% with Google: Gemini 3.1 Pro Preview (batch)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Claude Sonnet 4$330.00 / mo
In: $105Out: $225
Google: Gemini 3.1 Pro Preview (batch)$125.00 / mo
In: $35Out: $90
Estimated Cost Delta

Google: Gemini 3.1 Pro Preview (batch) is estimated to save $205.00/month ($2,460/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Google: Gemini 3.1 Pro Preview (batch):Pick Google: Gemini 3.1 Pro Preview (batch) when you are optimizing output cost.
  • 2
    Google: Gemini 3.1 Pro Preview (batch):Pick Google: Gemini 3.1 Pro Preview (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.1 Pro Preview (batch)

Lower output list price ($6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGoogle: Gemini 3.1 Pro Preview (batch)

Larger window (1M).

Screenshots / visionClaude Sonnet 4

Claude Sonnet 4 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatGoogle: Gemini 3.1 Pro Preview (batch)Lower output list price ($6/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGGoogle: Gemini 3.1 Pro Preview (batch)Larger window (1M).
Screenshots / visionClaude Sonnet 4Claude Sonnet 4 is the side marked multimodal in the catalog.

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Claude Sonnet 4

Elo 1,455
SWE-bench62.8%
Speed (tok/s)92 tok/s
Input / 1M Tokens$3/1M
Output / 1M Tokens$15/1M
Google

Google: Gemini 3.1 Pro Preview (batch)

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

Frequently Asked Questions

Which is better overall, Claude Sonnet 4 or Google: Gemini 3.1 Pro Preview (batch)?
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 Sonnet 4 or Google: Gemini 3.1 Pro Preview (batch)?
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: Gemini 3.1 Pro Preview (batch) output tokens are $6/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Sonnet 4 or Google: Gemini 3.1 Pro Preview (batch)?
We do not have TTFT for both models.
Which has the larger context window?
Google: Gemini 3.1 Pro Preview (batch) accepts 1M 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 Sonnet 4 and Google: Gemini 3.1 Pro Preview (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Sonnet 4 matchups →|All Google: Gemini 3.1 Pro Preview (batch) matchups →
Claude Sonnet 4 vs Claude 3.7 Sonnet (previous sonnet)Claude Sonnet 4 vs Claude Sonnet 4.5 (next sonnet)Gemini 2.0 Flash Thinking vs Claude Sonnet 4Gemini 3 Flash vs Claude Sonnet 4Gemini 3.6 Flash vs Claude Sonnet 4Gemini 3.7 Flash vs Claude Sonnet 4