Model comparison
Seed 2.0 Pro vs MiMo-V2.6-Pro
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 43.2 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Seed 2.0 Pro scores higher in 1 category and MiMo-V2.6-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 24.1.
- MiMo-V2.6-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $0.50 / $3 for Seed 2.0 Pro.
- MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 256K.
- MiMo-V2.6-Pro has downloadable open weights; the other is API-only.
Side by side
| Seed 2.0 Pro | MiMo-V2.6-Pro | |
|---|---|---|
| Provider | ByteDance Seed | Xiaomi |
| Noometry Index | 43.2 | 50.3 |
| Released | 2026-02-14 | 2026-09-21 |
| Weights | Proprietary | Open |
| Context window | 256K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.50 | $0.43 |
| Output $ / M tokens | $3 | $0.87 |
| Results tracked | 20 | 19 |
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Category by category
Coding MiMo-V2.6-Pro leads
Seed 2.0 Pro: 43.5 (#86), MiMo-V2.6-Pro: 55.5 (#23)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Coding | 1472 | 1534 |
| LMArena WebDev | — | 1629 |
| SciCode | — | 60.9% |
| ALE-Bench | — | 1,158 |
Agentic & Tool Use Not comparable
Seed 2.0 Pro: —, MiMo-V2.6-Pro: 37.5 (#35)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| APEX-Agents | — | 59.5% |
Reasoning MiMo-V2.6-Pro leads
Seed 2.0 Pro: 24.1 (#165), MiMo-V2.6-Pro: 43.1 (#50)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Hard Prompts | 1453 | 1512 |
| NYT Connections (extended) | 28.4% | — |
| CritPt | — | 26.6% |
| Thematic Generalization | 57.1% | — |
Math MiMo-V2.6-Pro leads
Seed 2.0 Pro: 39.3 (#108), MiMo-V2.6-Pro: 54.5 (#45)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Math | 1439 | 1494 |
| ProofBench | — | 70% |
Knowledge MiMo-V2.6-Pro leads
Seed 2.0 Pro: 40.2 (#122), MiMo-V2.6-Pro: 43.5 (#92)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Expert | 1440 | 1543 |
Multimodal Too close to call
Seed 2.0 Pro: 41.5 (#35), MiMo-V2.6-Pro: 40.8 (#43)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Vision | 1274 | 1264 |
Multilingual MiMo-V2.6-Pro leads
Seed 2.0 Pro: 54.5 (#39), MiMo-V2.6-Pro: 56.9 (#14)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Non-English | 1441 | 1474 |
| LMArena Chinese | 1489 | 1529 |
| LMArena Russian | 1449 | 1480 |
| LMArena French | 1471 | — |
| LMArena German | 1442 | — |
| LMArena Japanese | 1408 | — |
| LMArena Korean | 1411 | — |
| LMArena Spanish | 1460 | — |
Instruction Following MiMo-V2.6-Pro leads
Seed 2.0 Pro: 74.5 (#91), MiMo-V2.6-Pro: 78.2 (#12)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Instruction Following | 1414 | 1493 |
Long Context MiMo-V2.6-Pro leads
Seed 2.0 Pro: 43.6 (#90), MiMo-V2.6-Pro: 46.0 (#27)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Longer Query | 1428 | 1501 |
Writing & Preference MiMo-V2.6-Pro leads
Seed 2.0 Pro: 62.9 (#69), MiMo-V2.6-Pro: 66.8 (#33)
| Benchmark | Seed 2.0 Pro | MiMo-V2.6-Pro |
|---|---|---|
| LMArena Text | 1448 | 1492 |
| LMArena Creative Writing | 1406 | 1468 |
| LMArena Multi-Turn | 1441 | 1464 |
Frequently asked questions
Is Seed 2.0 Pro better than MiMo-V2.6-Pro?
MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 43.2 on the Noometry Index.
Which is cheaper, Seed 2.0 Pro or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Seed 2.0 Pro lists at $0.50 and $3.
Is Seed 2.0 Pro or MiMo-V2.6-Pro better for coding?
MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 43.5 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.6-Pro does, with 1.05M tokens against 256K.
How many benchmarks do Seed 2.0 Pro and MiMo-V2.6-Pro share?
13 benchmarks have published results for both models. Seed 2.0 Pro has 20 scored results on Noometry and MiMo-V2.6-Pro has 19.