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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 Sonnet 4 vs Llama 3.1 70B

Pairwise benchmark snapshot · Aug 17, 2026

Claude Sonnet 4 vs Llama 3.1 70B benchmark

In this head-to-head showdown, Claude Sonnet 4 delivers higher overall intelligence and human-preferred responses (Elo 1,455 vs 1,240), while Claude Sonnet 4 leads in SWE-bench software engineering benchmarks (62.8%), while Llama 3.1 70B is more budget-friendly at $0.4/1M 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 Llama 3.1 70B if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
Anthropic
Claude Sonnet 4

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

Elo 1,455$15/1M out
Meta
Llama 3.1 70B

Llama 3.1 70B instruct. Predecessor to 3.3 70B and Llama 4.

Elo 1,240$0.39999999999999997/1M out
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

Claude Sonnet 4

Δ 215 Arena Elo pts

Throughput Leader

Llama 3.1 70B

125 tok/s

Value per Dollar Leader

Llama 3.1 70B

$0.39999999999999997 / 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 AdvantageClaude Sonnet 4 4/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Claude Sonnet 4 (6)vsLlama 3.1 70B (4)
Claude Sonnet 4: 6W (60%)Overall: Claude Sonnet 4Llama 3.1 70B: 4W (40%)
← Claude Sonnet 4Llama 3.1 70B →
Claude Sonnet 4 (5/5)

Intelligence & Reasoning

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

Preference Elo
1,455vs1,240
Coding Elo
1,468vs—
SWE-bench
62.8%vs40.2%
LiveBench
63.2%vs46.8%
GPQA Diamond
76.4%vs48%
Claude Sonnet 4: 5WLlama 3.1 70B: 0W
Llama 3.1 70B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
92 tok/svs125 tok/s
Time to first token
220 msvs170 ms
Claude Sonnet 4: 0WLlama 3.1 70B: 2W
Llama 3.1 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$15/1Mvs$0.4/1M
Input price
$3/1Mvs$0.4/1M
Context window
1Mvs131k
Claude Sonnet 4: 1WLlama 3.1 70B: 2W

Side-by-Side Benchmark Matrix

Preference EloClaude Sonnet 4 (+215)
Claude Sonnet 41,455
lmarena · Aug 17, 2026
Llama 3.1 70B1,240
lmarena · Aug 17, 2026
Coding Elo
Claude Sonnet 41,468
lmarena · Aug 17, 2026
Llama 3.1 70B—
LiveBenchClaude Sonnet 4 (+16.4%)
Claude Sonnet 463.2%
livebench · Aug 17, 2026
Llama 3.1 70B46.8%
livebench · Aug 17, 2026
SWE-benchClaude Sonnet 4 (+22.6%)
Claude Sonnet 462.8%
swebench · Aug 17, 2026
Llama 3.1 70B40.2%
swebench · Aug 17, 2026
GPQA DiamondClaude Sonnet 4 (+28.4%)
Claude Sonnet 476.4%
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B48%
seed-bootstrap · Aug 1, 2026
Time to first tokenLlama 3.1 70B (+50 ms)
Claude Sonnet 4220 ms
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B170 ms
seed-bootstrap · Aug 1, 2026
Output speedLlama 3.1 70B (+33 tok/s)
Claude Sonnet 492 tok/s
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B125 tok/s
seed-bootstrap · Aug 1, 2026
Input priceLlama 3.1 70B (+$2.6/1M)
Claude Sonnet 4$3/1M
openrouter · Aug 17, 2026
Llama 3.1 70B$0.4/1M
openrouter · Aug 17, 2026
Output priceLlama 3.1 70B (+$14.6/1M)
Claude Sonnet 4$15/1M
openrouter · Aug 17, 2026
Llama 3.1 70B$0.4/1M
openrouter · Aug 17, 2026
Context windowClaude Sonnet 4 (+869k)
Claude Sonnet 41M
openrouter · Aug 17, 2026
Llama 3.1 70B131k
openrouter · Aug 17, 2026
BenchmarkClaude Sonnet 4Llama 3.1 70BAdvantage Delta
Preference Elo
1,455
lmarena · Aug 17, 2026
1,240
lmarena · Aug 17, 2026
Claude Sonnet 4 (+215)
Coding Elo
1,468
lmarena · Aug 17, 2026
——
LiveBench
63.2%
livebench · Aug 17, 2026
46.8%
livebench · Aug 17, 2026
Claude Sonnet 4 (+16.4%)
SWE-bench
62.8%
swebench · Aug 17, 2026
40.2%
swebench · Aug 17, 2026
Claude Sonnet 4 (+22.6%)
GPQA Diamond
76.4%
seed-bootstrap · Aug 1, 2026
48%
seed-bootstrap · Aug 1, 2026
Claude Sonnet 4 (+28.4%)
Time to first token
220 ms
seed-bootstrap · Aug 1, 2026
170 ms
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B (+50 ms)
Output speed
92 tok/s
seed-bootstrap · Aug 1, 2026
125 tok/s
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B (+33 tok/s)
Input price
$3/1M
openrouter · Aug 17, 2026
$0.4/1M
openrouter · Aug 17, 2026
Llama 3.1 70B (+$2.6/1M)
Output price
$15/1M
openrouter · Aug 17, 2026
$0.4/1M
openrouter · Aug 17, 2026
Llama 3.1 70B (+$14.6/1M)
Context window
1M
openrouter · Aug 17, 2026
131k
openrouter · Aug 17, 2026
Claude Sonnet 4 (+869k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 94% with Llama 3.1 70B
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
Llama 3.1 70B$20.00 / mo
In: $14Out: $6
Estimated Cost Delta

Llama 3.1 70B is estimated to save $310.00/month ($3,720/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Claude Sonnet 4:Pick Claude Sonnet 4 when repo-level coding accuracy is the constraint.
  • 2
    Llama 3.1 70B:Pick Llama 3.1 70B when you are optimizing output cost.
  • 3
    Llama 3.1 70B:Pick Llama 3.1 70B when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Sonnet 4

Higher SWE-bench (62.8%).

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UILlama 3.1 70B

Lower TTFT (170 ms).

Long-document RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsClaude Sonnet 4Higher SWE-bench (62.8%).
High-volume chatLlama 3.1 70BLower output list price ($0.4/1M).
Voice / low-latency UILlama 3.1 70BLower TTFT (170 ms).
Long-document RAGClaude Sonnet 4Larger window (1M).
Screenshots / visionClaude Sonnet 4Claude Sonnet 4 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 Sonnet 4

Elo 1,455
LiveBench63.2%
SWE-bench62.8%
Speed92 tok/s
Output cost$15/1M
Meta

Llama 3.1 70B

Elo 1,240
LiveBench46.8%
SWE-bench40.2%
Speed125 tok/s
Output cost$0.4/1M

Frequently Asked Questions

Which is better overall, Claude Sonnet 4 or Llama 3.1 70B?
Claude Sonnet 4 has the higher preference Elo in our latest snapshot (1,455). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Sonnet 4 or Llama 3.1 70B?
Claude Sonnet 4 leads SWE-bench at 62.8% vs 40.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Llama 3.1 70B output tokens are $0.4/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Sonnet 4 or Llama 3.1 70B?
Llama 3.1 70B has the lower time-to-first-token (170 ms vs 220 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Claude Sonnet 4 accepts 1M tokens versus 131k.
Can I self-host either model?
Llama 3.1 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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 Llama 3.1 70B 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 Llama 3.1 70B matchups →
Claude Sonnet 4 vs Claude 3.7 Sonnet (previous sonnet)Claude Sonnet 4 vs Claude Sonnet 4.5 (next sonnet)Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)Llama 4 Maverick vs Claude Sonnet 4Claude Sonnet 5 vs Claude Sonnet 4