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 1,468), while Gemini 3 Pro leads in SWE-bench software engineering benchmarks (72.4%), while Llama 4 Maverick is more budget-friendly at $0.6/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 direct benchmark disciplines evaluated across capability, speed, and cost
Google frontier multimodal model with a multi-million-token context window.
Meta natively multimodal open-weight flagship.
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 84 Arena Elo pts
130 tok/s
$0.6 / 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 4 Maverick | Advantage Delta |
|---|---|---|---|
| Preference Elo | +84 | ||
| Coding Elo | +96 | ||
| LiveBench | +7.8% | ||
| SWE-bench | +15.3% | ||
| GPQA Diamond | +9% | ||
| Time to first token | +50 ms | ||
| Output speed | 92 tok/s | 130 tok/s | +38 tok/s |
| Input price | $1.25/1M | $0.2/1M | +$1.05/1M |
| Output price | $0.6/1M | +$4.4/1M | |
| Context window | +951k |
Simulate monthly production API costs in USD (US Dollar).
Llama 4 Maverick is estimated to save $102.75/month ($1,233/year).
Higher SWE-bench (72.4%).
Lower output list price ($0.6/1M).
Lower TTFT (170 ms).
Larger window (2M).
Both accept images. Defaulting to the higher-Elo side (Gemini 3 Pro).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | Gemini 3 Pro | Higher SWE-bench (72.4%). |
| High-volume chat | Llama 4 Maverick | Lower output list price ($0.6/1M). |
| Voice / low-latency UI | Llama 4 Maverick | Lower TTFT (170 ms). |
| Long-document RAG | Gemini 3 Pro | Larger window (2M). |
| Screenshots / vision | Gemini 3 Pro | Both accept images. Defaulting to the higher-Elo side (Gemini 3 Pro). |
Hub remaps to top Meta vs top Anthropic Elo. Usually Maverick vs Opus 5.
Apr 2026. The Llama vs Claude hub uses the top Meta Elo row — usually Maverick.
March 2026 Google frontier multimodal with a 2M window. 3.6 Pro is newer; 3 Pro stays as the original 3.x Pro row.
Dec 2024 instruct 70B. Still a self-host baseline. Llama 4 is the 2026 buy.
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Verified Head-to-Head Telemetry
compare · Apr 9, 2026
Llama vs Claude: open-weight Meta versus the Anthropic crown
launch · Apr 8, 2026
Llama 4 Maverick: Meta’s natively multimodal open-weight flagship
launch · Mar 15, 2026
Gemini 3 Pro’s multi-million context is still a 2026 RAG shortlist
launch · Dec 6, 2024
Llama 3.3 70B stays as the previous Meta 70B workhorse