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 1,358), while MiniMax M2.5 leads in SWE-bench software engineering benchmarks (75.8%), while MiniMax M2.5 is more budget-friendly at $1.2/1M 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
Open-weights reasoning model trained with large-scale RL.
MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.
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 120 Arena Elo pts
90 tok/s
$1.2 / 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 | DeepSeek R1 | MiniMax M2.5 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +120 | ||
| Coding Elo | — | — | |
| LiveBench | +5.4% | ||
| SWE-bench | +10.6% | ||
| GPQA Diamond | +3.6% | ||
| Time to first token | +170 ms | ||
| Output speed | 62 tok/s | 90 tok/s | +28 tok/s |
| Input price | $0.55/1M | $0.3/1M | +$0.25/1M |
| Output price | $2.19/1M | $1.2/1M | +$0.99/1M |
| Context window | +77k |
Simulate monthly production API costs in USD (US Dollar).
MiniMax M2.5 is estimated to save $23.60/month ($283/year).
Higher SWE-bench (75.8%).
Lower output list price ($1.2/1M).
Lower TTFT (250 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 | MiniMax M2.5 | Lower output list price ($1.2/1M). |
| Voice / low-latency UI | MiniMax M2.5 | Lower TTFT (250 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.
Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.
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