Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, Claude Opus 4.5 delivers higher overall intelligence and human-preferred responses (Elo 1,568 vs 1,240), while Claude Opus 4.5 leads in SWE-bench software engineering benchmarks (76.8%), 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.
9 direct benchmark disciplines evaluated across capability, speed, and cost
Anthropic frontier coding and computer-use model. SWE-bench leader on the official mini-SWE-agent harness in the Feb 2026 refresh.
Llama 3.1 70B instruct. Predecessor to 3.3 70B and Llama 4.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 328 Arena Elo pts
125 tok/s
$0.4 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Claude Opus 4.5 | Llama 3.1 70B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +328 | ||
| Coding Elo | — | — | |
| LiveBench | +24.4% | ||
| SWE-bench | +36.6% | ||
| GPQA Diamond | +36.1% | ||
| Time to first token | +210 ms | ||
| Output speed | 62 tok/s | 125 tok/s | +63 tok/s |
| Input price | $0.35/1M | +$14.65/1M | |
| Output price | $0.4/1M | +$74.6/1M | |
| Context window | +72k |
Simulate monthly production API costs in USD (US Dollar).
Llama 3.1 70B is estimated to save $1,631.75/month ($19,581/year).
Higher SWE-bench (76.8%).
Lower output list price ($0.4/1M).
Lower TTFT (170 ms).
Larger window (200k).
Claude Opus 4.5 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Claude Opus 4.5 | Higher SWE-bench (76.8%). |
| High-volume chat | Llama 3.1 70B | Lower output list price ($0.4/1M). |
| Voice / low-latency UI | Llama 3.1 70B | Lower TTFT (170 ms). |
| Long-document RAG | Claude Opus 4.5 | Larger window (200k). |
| Screenshots / vision | Claude Opus 4.5 | Claude Opus 4.5 is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry