Model comparison
Llama 4 Scout vs MiMo-V2.5-Pro
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 4 Scout #174 (Supported); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Scout and MiMo-V2.5-Pro share 16 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Llama 4 Scout; 15 to MiMo-V2.5-Pro.
Updated July 21, 2026- Shared results
- 16
- Llama 4 Scout only
- 2
- MiMo-V2.5-Pro only
- 15
- Comparable categories
- 0 / 8
Benchmark data for Llama 4 Scout and MiMo-V2.5-Pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Llama 4 Scout has the larger context window at 10M, compared with 1M for MiMo-V2.5-Pro.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Llama 4 Scout | Δ | MiMo-V2.5-Pro |
|---|---|---|---|
| Agentic | Llama 4 ScoutNot measured | MarginNo overlap | MiMo-V2.5-Pro68.4 |
| Coding | Llama 4 ScoutNot measured | MarginNo overlap | MiMo-V2.5-Pro57.2 |
| Knowledge | Llama 4 ScoutNot measured | MarginNo overlap | MiMo-V2.5-Pro48.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 4 Scout | MiMo-V2.5-Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Scout$0 input / $0 output | MiMo-V2.5-ProNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Llama 4 Scout128 tok/s | MiMo-V2.5-ProNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 4 Scout0.70 s | MiMo-V2.5-ProNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 4 Scout10M | MiMo-V2.5-Pro1M | Llama 4 Scout lists the larger context window. |
Benchmark Deep Dive
Agentic14 benchmarks
| Benchmark | Llama 4 Scout | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.1% | 29.1% | MiMo-V2.5-Pro leads |
| τ²-bench resultsSource | 15.5% | 94.2% | MiMo-V2.5-Pro leads |
| GDPval-AASource | 0.0% | 38.3% | MiMo-V2.5-Pro leads |
| GDPval-AASource | 90 | 1265 | MiMo-V2.5-Pro leads |
| Claw-EvalSource | — | 63.8% | Not comparable |
| τ³-bench resultsSource | — | 72.9% | Not comparable |
| Terminal-Bench 2.0Source | — | 68.4% | 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 | Llama 4 Scout | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 10.0% | 42.2% | MiMo-V2.5-Pro leads |
| AA-GPQA DiamondSource | 58.7% | 86.6% | MiMo-V2.5-Pro leads |
| AA-HLESource | 4.3% | 33.8% | MiMo-V2.5-Pro leads |
| AA-Omniscience IndexSource | -52.4% | 3.6% | MiMo-V2.5-Pro leads |
| AA-Omniscience AccuracySource | 14.6% | 22.6% | MiMo-V2.5-Pro leads |
| AA-Omniscience Hallucination RateSource | 78.3% | 24.5% | MiMo-V2.5-Pro leads |
| HLESource | — | 48% | Not comparable |
| HLE w/o toolsSource | — | 34% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Math1 benchmarks
| Benchmark | Llama 4 Scout | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 0.000% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Llama 4 Scout | MiMo-V2.5-Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.5% | 79.9% | MiMo-V2.5-Pro leads |
Frequently Asked Questions (3)
Can I compare Llama 4 Scout and MiMo-V2.5-Pro 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 Llama 4 Scout and MiMo-V2.5-Pro today?
Llama 4 Scout: $0.00 input / $0.00 output per 1M tokens MiMo-V2.5-Pro: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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