Model comparison
MiMo-V2.5-Pro vs Ministral 3 14B
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MiMo-V2.5-Pro #14 (Supported); Ministral 3 14B #187 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MiMo-V2.5-Pro and Ministral 3 14B share 0 comparable benchmark results. 0 of 8 categories are comparable. 31 results are unique to MiMo-V2.5-Pro; 0 to Ministral 3 14B.
Updated July 21, 2026- Shared results
- 0
- MiMo-V2.5-Pro only
- 31
- Ministral 3 14B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for MiMo-V2.5-Pro and Ministral 3 14B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Ministral 3 14B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
MiMo-V2.5-Pro has the larger context window at 1M, compared with 128K for Ministral 3 14B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MiMo-V2.5-Pro | Ministral 3 14B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MiMo-V2.5-ProNot available | Ministral 3 14B$0.2 input / $0.2 output | A complete price comparison is not available. |
| Generation speedtokens per second | MiMo-V2.5-ProNot available | Ministral 3 14B110 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MiMo-V2.5-ProNot available | Ministral 3 14B0.60 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MiMo-V2.5-Pro1M | Ministral 3 14B128K | MiMo-V2.5-Pro lists the larger context window. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | MiMo-V2.5-Pro | Ministral 3 14B | Result |
|---|---|---|---|
| Claw-EvalSource | 63.8% | — | Not comparable |
| GDPval-AASource | 1265 | — | Not comparable |
| τ³-bench resultsSource | 72.9% | — | Not comparable |
| Terminal-Bench 2.0Source | 68.4% | — | Not comparable |
| AA Agentic IndexSource | 29.1% | — | Not comparable |
| τ²-bench resultsSource | 94.2% | — | Not comparable |
| GDPval-AASource | 38.3% | — | Not comparable |
| APEX-Agents-AASource | 2.4% | — | Not comparable |
| Gert LabsSource | 62.70% | — | Not comparable |
| AA BriefcaseSource | 873 | — | Not comparable |
| AA ITBenchSource | 38.2% | — | Not comparable |
| terminalBenchHardSource | 43.2% | — | Not comparable |
| aaTerminalBench21Source | 65.2% | — | Not comparable |
| AA Harvey LABSource | 73.3% | — | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | MiMo-V2.5-Pro | Ministral 3 14B | Result |
|---|---|---|---|
| HLESource | 48% | — | Not comparable |
| HLE w/o toolsSource | 34% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 42.2% | — | Not comparable |
| AA-GPQA DiamondSource | 86.6% | — | Not comparable |
| AA-HLESource | 33.8% | — | Not comparable |
| AA-Omniscience IndexSource | 3.6% | — | Not comparable |
| AA-Omniscience AccuracySource | 22.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 24.5% | — | Not comparable |
| AA Openness IndexSource | 38.9% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | MiMo-V2.5-Pro | Ministral 3 14B | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1298 | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | MiMo-V2.5-Pro | Ministral 3 14B | Result |
|---|---|---|---|
| AA-IFBenchSource | 79.9% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare MiMo-V2.5-Pro and Ministral 3 14B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for MiMo-V2.5-Pro and Ministral 3 14B today?
MiMo-V2.5-Pro: Pricing unavailable Ministral 3 14B: $0.20 input / $0.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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