MiMo-V2.5-Pro vs Llama 3.3 70B Instruct
Detailed technical comparison between MiMo-V2.5-Pro (Xiaomi) and Llama 3.3 70B Instruct (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
MiMo-V2.5-Pro
1,050,000 tokensTie
Equal CapabilityTie
Equal SpeedLlama 3.3 70B Instruct
$0.13 / MTokMiMo-V2.5-Pro
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
Llama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Technical Specifications
🏆 = Superior Spec| Specification | MiMo-V2.5-Pro | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | Xiaomi | Meta |
| Context Window | 1,050,000 tokens🏆 | 131,072 tokens |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | managed api | self hostable |
| Production Stability | Beta Access (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-04-22 | 2024-12-06 |
API Pricing Comparison
Input Price per Million Tokens
MiMo-V2.5-Pro
$0.43
Llama 3.3 70B Instruct
$0.13
Output Price per Million Tokens
MiMo-V2.5-Pro
$0.87
Llama 3.3 70B Instruct
$0.40
💡 Cost Ratio: Llama 3.3 70B Instruct is 3.3x cheaper per input token than MiMo-V2.5-Pro.
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Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
MiMo-V2.5-Pro Quirks & Gotchas
No developer gotchas reported.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.
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