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Every score has a dated snapshot.

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  3. Claude 3.5 Haiku vs Llama 3.1 70B

Pairwise benchmark snapshot · Aug 17, 2026

Claude 3.5 Haiku vs Llama 3.1 70B benchmark

In this head-to-head showdown, Llama 3.1 70B delivers higher overall intelligence and human-preferred responses (Elo 1,240 vs 1,224), while Llama 3.1 70B leads in SWE-bench software engineering benchmarks (40.2%), while Llama 3.1 70B is more budget-friendly at $0.4/1M per 1M output tokens, while Claude 3.5 Haiku provides faster response streaming (140 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Llama 3.1 70B holds the advantage over Claude 3.5 Haiku in overall benchmark performance and human evaluation rankings. Choose Llama 3.1 70B for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
Share Analysis:
WhatsAppTelegramXLinkedInReddit
Anthropic
Claude 3.5 Haiku

Previous cheap Claude. Haiku 4.5 is the current $1/$5 SKU.

Elo 1,224$4/1M 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 3.5 Haiku
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

Llama 3.1 70B

Δ 16 Arena Elo pts

Throughput Leader

Claude 3.5 Haiku

140 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 3.5 Haiku 3/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Claude 3.5 Haiku (4)vsLlama 3.1 70B (5)
Claude 3.5 Haiku: 4W (44%)Overall: Llama 3.1 70BLlama 3.1 70B: 5W (56%)
← Claude 3.5 HaikuLlama 3.1 70B →
Llama 3.1 70B (3/5)

Intelligence & Reasoning

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

Preference Elo
1,224vs1,240
Coding Elo
—vs—
SWE-bench
36.2%vs40.2%
LiveBench
44.8%vs46.8%
GPQA Diamond
54.1%vs48%
Claude 3.5 Haiku: 1WLlama 3.1 70B: 3W
Claude 3.5 Haiku (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
140 tok/svs125 tok/s
Time to first token
110 msvs170 ms
Claude 3.5 Haiku: 2WLlama 3.1 70B: 0W
Llama 3.1 70B (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$4/1Mvs$0.4/1M
Input price
$0.8/1Mvs$0.4/1M
Context window
200kvs131k
Claude 3.5 Haiku: 1WLlama 3.1 70B: 2W

Side-by-Side Benchmark Matrix

Preference EloLlama 3.1 70B (+16)
Claude 3.5 Haiku1,224
lmarena · Aug 17, 2026
Llama 3.1 70B1,240
lmarena · Aug 17, 2026
LiveBenchLlama 3.1 70B (+2%)
Claude 3.5 Haiku44.8%
livebench · Aug 17, 2026
Llama 3.1 70B46.8%
livebench · Aug 17, 2026
SWE-benchLlama 3.1 70B (+4%)
Claude 3.5 Haiku36.2%
swebench · Aug 17, 2026
Llama 3.1 70B40.2%
swebench · Aug 17, 2026
GPQA DiamondClaude 3.5 Haiku (+6.1%)
Claude 3.5 Haiku54.1%
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B48%
seed-bootstrap · Aug 1, 2026
Time to first tokenClaude 3.5 Haiku (+60 ms)
Claude 3.5 Haiku110 ms
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B170 ms
seed-bootstrap · Aug 1, 2026
Output speedClaude 3.5 Haiku (+15 tok/s)
Claude 3.5 Haiku140 tok/s
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B125 tok/s
seed-bootstrap · Aug 1, 2026
Input priceLlama 3.1 70B (+$0.4/1M)
Claude 3.5 Haiku$0.8/1M
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B$0.4/1M
openrouter · Aug 17, 2026
Output priceLlama 3.1 70B (+$3.6/1M)
Claude 3.5 Haiku$4/1M
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B$0.4/1M
openrouter · Aug 17, 2026
Context windowClaude 3.5 Haiku (+69k)
Claude 3.5 Haiku200k
seed-bootstrap · Aug 1, 2026
Llama 3.1 70B131k
openrouter · Aug 17, 2026
BenchmarkClaude 3.5 HaikuLlama 3.1 70BAdvantage Delta
Preference Elo
1,224
lmarena · Aug 17, 2026
1,240
lmarena · Aug 17, 2026
Llama 3.1 70B (+16)
LiveBench
44.8%
livebench · Aug 17, 2026
46.8%
livebench · Aug 17, 2026
Llama 3.1 70B (+2%)
SWE-bench
36.2%
swebench · Aug 17, 2026
40.2%
swebench · Aug 17, 2026
Llama 3.1 70B (+4%)
GPQA Diamond
54.1%
seed-bootstrap · Aug 1, 2026
48%
seed-bootstrap · Aug 1, 2026
Claude 3.5 Haiku (+6.1%)
Time to first token
110 ms
seed-bootstrap · Aug 1, 2026
170 ms
seed-bootstrap · Aug 1, 2026
Claude 3.5 Haiku (+60 ms)
Output speed
140 tok/s
seed-bootstrap · Aug 1, 2026
125 tok/s
seed-bootstrap · Aug 1, 2026
Claude 3.5 Haiku (+15 tok/s)
Input price
$0.8/1M
seed-bootstrap · Aug 1, 2026
$0.4/1M
openrouter · Aug 17, 2026
Llama 3.1 70B (+$0.4/1M)
Output price
$4/1M
seed-bootstrap · Aug 1, 2026
$0.4/1M
openrouter · Aug 17, 2026
Llama 3.1 70B (+$3.6/1M)
Context window
200k
seed-bootstrap · Aug 1, 2026
131k
openrouter · Aug 17, 2026
Claude 3.5 Haiku (+69k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 77% 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 3.5 Haiku$88.00 / mo
In: $28Out: $60
Llama 3.1 70B$20.00 / mo
In: $14Out: $6
Estimated Cost Delta

Llama 3.1 70B is estimated to save $68.00/month ($816/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Llama 3.1 70B:Pick Llama 3.1 70B when repo-level coding accuracy is the constraint.
  • 2
    Claude 3.5 Haiku:Pick Claude 3.5 Haiku when time-to-first-token matters more than peak Elo.
  • 3
    Llama 3.1 70B:Pick Llama 3.1 70B as the default general assistant.

Recommended Workload Routing

Repo / coding agentsLlama 3.1 70B

Higher SWE-bench (40.2%).

High-volume chatLlama 3.1 70B

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

Voice / low-latency UIClaude 3.5 Haiku

Lower TTFT (110 ms).

Long-document RAGClaude 3.5 Haiku

Larger window (200k).

Screenshots / visionClaude 3.5 Haiku

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsLlama 3.1 70BHigher SWE-bench (40.2%).
High-volume chatLlama 3.1 70BLower output list price ($0.4/1M).
Voice / low-latency UIClaude 3.5 HaikuLower TTFT (110 ms).
Long-document RAGClaude 3.5 HaikuLarger window (200k).
Screenshots / visionClaude 3.5 HaikuClaude 3.5 Haiku 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 3.5 Haiku

Elo 1,224
LiveBench44.8%
SWE-bench36.2%
Speed140 tok/s
Output cost$4/1M
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 3.5 Haiku or Llama 3.1 70B?
Llama 3.1 70B has the higher preference Elo in our latest snapshot (1,240). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.5 Haiku or Llama 3.1 70B?
Llama 3.1 70B leads SWE-bench at 40.2% vs 36.2%. 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 $4/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Haiku or Llama 3.1 70B?
Claude 3.5 Haiku has the lower time-to-first-token (110 ms vs 170 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Claude 3.5 Haiku accepts 200k 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 3.5 Haiku 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 3.5 Haiku matchups →|All Llama 3.1 70B matchups →
Claude 3.5 Haiku vs Claude Haiku 4.5 (next haiku)Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)Claude Opus 4.5 vs Llama 3.1 70BClaude Opus 4.6 vs Llama 3.1 70BClaude Sonnet 4.5 vs Llama 3.1 70B