Pairwise benchmark snapshot · Aug 1, 2026
In this head-to-head showdown, MiniMax M2.5 delivers higher overall intelligence and human-preferred responses (Elo 1,478 vs 1,285), while MiniMax M2.5 leads in SWE-bench software engineering benchmarks (75.8%), while Llama 3.3 70B is more budget-friendly at $0.59/1M 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
MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.
Δ 193 Arena Elo pts
140 tok/s
$0.59 / 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 | Llama 3.3 70B | MiniMax M2.5 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +193 | ||
| Coding Elo | — | — | |
| LiveBench | +14.6% | ||
| SWE-bench | +30.7% | ||
| GPQA Diamond | +10.5% | ||
| Time to first token | +90 ms | ||
| Output speed | 140 tok/s | 90 tok/s | +50 tok/s |
| Input price | $0.18/1M | $0.3/1M | +$0.12/1M |
| Output price | $0.59/1M | $1.2/1M | +$0.61/1M |
| Context window | +77k |
Simulate monthly production API costs in USD (US Dollar).
Llama 3.3 70B is estimated to save $13.35/month ($160/year).
Higher SWE-bench (75.8%).
Lower output list price ($0.59/1M).
Lower TTFT (160 ms).
Larger window (205k).
MiniMax M2.5 is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | MiniMax M2.5 | Higher SWE-bench (75.8%). |
| High-volume chat | Llama 3.3 70B | Lower output list price ($0.59/1M). |
| Voice / low-latency UI | Llama 3.3 70B | Lower TTFT (160 ms). |
| Long-document RAG | MiniMax M2.5 | Larger window (205k). |
| Screenshots / vision | MiniMax M2.5 | MiniMax M2.5 is the side marked multimodal in the catalog. |
Tied near the top of official SWE-bench bash-only in Feb 2026. Coding lists should still see it.
Dec 2024 instruct 70B. Still a self-host baseline. Llama 4 is the 2026 buy.
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Verified Head-to-Head Telemetry