Model comparison
Llama 3-8B vs MiMo-V2.6-Flash
MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 25.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and MiMo-V2.6-Flash in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where MiMo-V2.6-Flash leads 42.0 to 7.8.
- Llama 3-8B is cheaper at $0.14 / $0.14 per million input/output tokens, against $0.14 / $0.28 for MiMo-V2.6-Flash.
- MiMo-V2.6-Flash accepts more context: 1.05M tokens versus 8K.
Side by side
| Llama 3-8B | MiMo-V2.6-Flash | |
|---|---|---|
| Provider | Meta | Xiaomi |
| Noometry Index | 25.3 | 44.4 |
| Released | 2024-04-18 | 2026-09-22 |
| Weights | Open | Open |
| Context window | 8K | 1.05M |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.14 | $0.14 |
| Output $ / M tokens | $0.14 | $0.28 |
| Results tracked | 34 | 13 |
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Category by category
Coding MiMo-V2.6-Flash leads
Llama 3-8B: 30.5 (#285), MiMo-V2.6-Flash: 44.3 (#68)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Coding | 1152 | 1516 |
| BigCodeBench Instruct | 31.9% | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |
Reasoning MiMo-V2.6-Flash leads
Llama 3-8B: 13.8 (#321), MiMo-V2.6-Flash: 29.6 (#82)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Hard Prompts | 1133 | 1481 |
| Chess Puzzles | 0% | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| Epoch Capabilities Index | 116.33 | — |
| ForecastBench | 58.6 | — |
| WinoGrande | 75.7% | — |
Math MiMo-V2.6-Flash leads
Llama 3-8B: 8.3 (#317), MiMo-V2.6-Flash: 37.4 (#97)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Math | 1151 | 1477 |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| MATH Level 5 | 6.1% | — |
Knowledge MiMo-V2.6-Flash leads
Llama 3-8B: 7.8 (#303), MiMo-V2.6-Flash: 42.0 (#91)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Expert | 1113 | 1516 |
| GPQA Diamond | 26.1% | — |
| ARC (AI2) Challenge | 82.8% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 82.6% | — |
| TriviaQA | 67.7% | — |
Multimodal Not comparable
Llama 3-8B: —, MiMo-V2.6-Flash: 40.2 (#39)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Vision | — | 1266 |
Multilingual MiMo-V2.6-Flash leads
Llama 3-8B: 31.0 (#256), MiMo-V2.6-Flash: 54.6 (#41)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Non-English | 1098 | 1439 |
| LMArena Chinese | 1076 | 1501 |
| LMArena Russian | 1109 | 1424 |
| LMArena French | 1158 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1003 | — |
| LMArena Spanish | 1172 | — |
Instruction Following MiMo-V2.6-Flash leads
Llama 3-8B: 58.7 (#255), MiMo-V2.6-Flash: 77.0 (#33)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Instruction Following | 1127 | 1463 |
Long Context MiMo-V2.6-Flash leads
Llama 3-8B: 34.2 (#246), MiMo-V2.6-Flash: 44.8 (#52)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Longer Query | 1128 | 1465 |
Writing & Preference MiMo-V2.6-Flash leads
Llama 3-8B: 37.7 (#251), MiMo-V2.6-Flash: 63.9 (#61)
| Benchmark | Llama 3-8B | MiMo-V2.6-Flash |
|---|---|---|
| LMArena Text | 1166 | 1459 |
| LMArena Creative Writing | 1150 | 1408 |
| LMArena Multi-Turn | 1152 | 1460 |
Frequently asked questions
Is Llama 3-8B better than MiMo-V2.6-Flash?
MiMo-V2.6-Flash is the stronger model overall, scoring 44.4 to 25.3 on the Noometry Index.
Which is cheaper, Llama 3-8B or MiMo-V2.6-Flash?
Llama 3-8B is cheaper. It lists at $0.14 per million input tokens and $0.14 per million output tokens; MiMo-V2.6-Flash lists at $0.14 and $0.28.
Is Llama 3-8B or MiMo-V2.6-Flash better for coding?
MiMo-V2.6-Flash scores higher on coding benchmarks: 44.3 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Flash does, with 1.05M tokens against 8K.
How many benchmarks do Llama 3-8B and MiMo-V2.6-Flash share?
12 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and MiMo-V2.6-Flash has 13.