Pairwise benchmark snapshot · Aug 17, 2026
In this head-to-head showdown, GPT-5.6 Terra delivers higher overall intelligence and human-preferred responses (Elo 1,548 vs 1,478), while MiniMax M2.5 leads in SWE-bench software engineering benchmarks (75.8%), while MiniMax M2.5 is more budget-friendly at $0.9/1M per 1M output tokens, while GPT-5.6 Terra provides faster response streaming (128 tok/s). 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
OpenAI 5.6 mid tier. Official API $2/$12 per 1M after the Jul 30 2026 price cut.
MiniMax coding model. Tied near the top of official SWE-bench bash-only in Feb 2026.
Currently comparing GPT-5.6 Terra vs MiniMax M2.5. Alternative family tiers available.
Δ 70 Arena Elo pts
128 tok/s
$0.8999999999999999 / 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 | GPT-5.6 Terra | MiniMax M2.5 | Advantage Delta |
|---|---|---|---|
| Preference Elo | +70 | ||
| Coding Elo | +6 | ||
| LiveBench | +4.7% | ||
| SWE-bench | +5.4% | ||
| GPQA Diamond | +5.8% | ||
| Time to first token | +90 ms | ||
| Output speed | 128 tok/s | 90 tok/s | +38 tok/s |
| Input price | $0.22/1M | +$0.78/1M | |
| Output price | $0.9/1M | +$5.1/1M | |
| Context window | +845k |
Simulate monthly production API costs in USD (US Dollar).
MiniMax M2.5 is estimated to save $103.80/month ($1,246/year).
Higher SWE-bench (75.8%).
Lower output list price ($0.9/1M).
Lower TTFT (160 ms).
Larger window (1.1M).
GPT-5.6 Terra 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 ($0.9/1M). |
| Voice / low-latency UI | GPT-5.6 Terra | Lower TTFT (160 ms). |
| Long-document RAG | GPT-5.6 Terra | Larger window (1.1M). |
| Screenshots / vision | GPT-5.6 Terra | GPT-5.6 Terra is the side marked multimodal in the catalog. |
Terra is OpenAI’s Sonnet-class invoice. Use it when Sol is too expensive and Luna is too small.
Tied near the top of official SWE-bench bash-only in Feb 2026. Coding lists should still see it.
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Verified Head-to-Head Telemetry
