Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, Gemini 3 Pro delivers higher overall intelligence and human-preferred responses (Elo 1,552 vs 1,240), while Gemini 3 Pro leads in SWE-bench software engineering benchmarks (72.4%), 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
Google frontier multimodal model with a multi-million-token context window.
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 312 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 | Gemini 3 Pro | Llama 3.1 70B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +312 | ||
| Coding Elo | — | — | |
| LiveBench | +23.8% | ||
| SWE-bench | +32.2% | ||
| GPQA Diamond | +35.6% | ||
| Time to first token | +50 ms | ||
| Output speed | 92 tok/s | 125 tok/s | +33 tok/s |
| Input price | $1.25/1M | $0.35/1M | +$0.9/1M |
| Output price | $0.4/1M | +$4.6/1M | |
| Context window | +1.9M |
Simulate monthly production API costs in USD (US Dollar).
Llama 3.1 70B is estimated to save $100.50/month ($1,206/year).
Higher SWE-bench (72.4%).
Lower output list price ($0.4/1M).
Lower TTFT (170 ms).
Larger window (2M).
Gemini 3 Pro is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 3 Pro | Higher SWE-bench (72.4%). |
| 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 | Gemini 3 Pro | Larger window (2M). |
| Screenshots / vision | Gemini 3 Pro | Gemini 3 Pro is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry