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Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

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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 3.5 Sonnet vs Magnum v4 72B

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

Claude 3.5 Sonnet vs Magnum v4 72B benchmark

In this head-to-head showdown, Magnum v4 72B is more budget-friendly at $5/1M 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 3.5 Sonnet if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Magnum v4 72B if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Executive Verdict Summary

Claude 3.5 Sonnet holds empirical advantage (1 of 2 metrics)

Coding / SWESWE-bench
Claude 3.5 SonnetTop code solve rate
ReasoningGPQA / Live
Claude 3.5 SonnetTop logical accuracy
Best Value$/1M Tok
Magnum v4 72BLowest API billing cost
Speed / TokTok/Sec
Claude 3.5 SonnetFastest stream rate

Verified Advantage Breakdown

2 benchmarks evaluated across capability, speed, and cost

Claude 3.5 Sonnet (1)Magnum v4 72B (1)
Claude 3.5 Sonnet
1 of 2 Wins
✓Context window
Magnum v4 72B
1 of 2 Wins
✓Output price
Anthropic
Leads 1 of 2
Claude 3.5 Sonnet

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

Elo 1,280In: $3 · Out: $15/1M
anthracite-org
Leads 1 of 2
Magnum v4 72B

Auto-discovered from OpenRouter (anthracite-org/magnum-v4-72b). Preview until a second source matches.

In: $3 · Out: $5/1M
Top Rival Showdowns for Claude 3.5 Sonnet
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 LeaderMagnum v4 72B Wins

Magnum v4 72B

$5 / 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 3.5 Sonnet (7)vsMagnum v4 72B (1)
Claude 3.5 Sonnet: 7W (88%)Overall: Claude 3.5 SonnetMagnum v4 72B: 1W (12%)
← Claude 3.5 Sonnet1 tiesMagnum v4 72B →
🏆Claude 3.5 Sonnet Leads(4/5)

Intelligence & Reasoning

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

Benchmark
Claude 3.5 SonnetvsMagnum v4 72B
Preference Elo
1,280vs—
Coding Elo
—vs—
SWE-bench
49%vs—
LiveBench
52.1%vs—
GPQA Diamond
65%vs—
Claude 3.5 Sonnet: 4WMagnum v4 72B: 0W
🏆Claude 3.5 Sonnet Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude 3.5 SonnetvsMagnum v4 72B
Output speed
80 tok/svs—
Time to first token
280 msvs—
Claude 3.5 Sonnet: 2WMagnum v4 72B: 0W
Tied (1-1)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude 3.5 SonnetvsMagnum v4 72B
Output price
$15/1Mvs$5/1M+$10/1M
Input price
$3/1Mvs$3/1M
Context window
200kvs33k+167k
Claude 3.5 Sonnet: 1WMagnum v4 72B: 1W

Side-by-Side Benchmark Matrix

Claude 3.5 SonnetMagnum v4 72B
Preference Elo
Claude 3.5 Sonnet1,280
Magnum v4 72B—
LiveBench
Claude 3.5 Sonnet52.1%
Magnum v4 72B—
SWE-bench
Claude 3.5 Sonnet49%
Magnum v4 72B—
GPQA Diamond
Claude 3.5 Sonnet65%
Magnum v4 72B—
Time to first token
Claude 3.5 Sonnet280 ms
Magnum v4 72B—
Output speed
Claude 3.5 Sonnet80 tok/s
Magnum v4 72B—
Input price
Claude 3.5 Sonnet$3/1M
Magnum v4 72B$3/1M
Output priceMagnum v4 72B +$10/1M
Claude 3.5 Sonnet$15/1M
Magnum v4 72B$5/1M
Context windowClaude 3.5 Sonnet +167k
Claude 3.5 Sonnet200k
Magnum v4 72B33k
BenchmarkClaude 3.5 SonnetMagnum v4 72BAdvantage Delta
Preference Elo
1,280
lmarena · Aug 17, 2026
——
LiveBench
52.1%
livebench · Aug 17, 2026
——
SWE-bench
49%
swebench · Aug 17, 2026
——
GPQA Diamond
65%
seed-bootstrap · Aug 1, 2026
——
Time to first token
280 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
80 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$3/1M
seed-bootstrap · Aug 1, 2026
$3/1M
openrouter · Aug 17, 2026
—
Output price
$15/1M
seed-bootstrap · Aug 1, 2026
$5/1M
openrouter · Aug 17, 2026
+$10/1M
Context window
200k
seed-bootstrap · Aug 1, 2026
33k
openrouter · Aug 17, 2026
+167k

Workload Cost & Savings Calculator

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

Save 45% with Magnum v4 72B
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
Magnum v4 72B$180.00 / mo
In: $105Out: $75
Estimated Cost Delta

Magnum v4 72B is estimated to save $150.00/month ($1,800/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Magnum v4 72B:Pick Magnum v4 72B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMagnum v4 72B

Lower output list price ($5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude 3.5 Sonnet

Larger window (200k).

Screenshots / visionClaude 3.5 Sonnet

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMagnum v4 72BLower output list price ($5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGClaude 3.5 SonnetLarger window (200k).
Screenshots / visionClaude 3.5 SonnetClaude 3.5 Sonnet 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 3.5 Sonnet

Elo 1,280
SWE-bench49%
Speed (tok/s)80 tok/s
Input / 1M Tokens$3/1M
Output / 1M Tokens$15/1M
anthracite-org

Magnum v4 72B

Elo n/a
SWE-bench—
Speed (tok/s)33k
Input / 1M Tokens$3/1M
Output / 1M Tokens$5/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Sonnet or Magnum v4 72B?
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 Magnum v4 72B?
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?
Magnum v4 72B 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 Magnum v4 72B?
We do not have TTFT for both models.
Which has the larger context window?
Claude 3.5 Sonnet accepts 200k tokens versus 33k.
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 Magnum v4 72B 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 Magnum v4 72B matchups →
Claude 3.5 Sonnet vs Claude 3.7 Sonnet (next sonnet)Claude Opus 4.5 vs Claude 3.5 SonnetClaude Opus 4.6 vs Claude 3.5 SonnetClaude Sonnet 4.5 vs Claude 3.5 SonnetClaude Opus 5 vs Claude 3.5 SonnetClaude Fable 5 vs Claude 3.5 Sonnet