Model comparison
Seed 2.0 Pro vs Kimi K3
Kimi K3 is the stronger model overall, scoring 59.5 to 43.2 on the Noometry Index. Seed 2.0 Pro costs 5.3× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
ByteDance SeedSummary
- They share 18 benchmarks with published results for both. Seed 2.0 Pro scores higher in 1 category and Kimi K3 in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K3 leads 63.0 to 24.1.
- The biggest single-benchmark swing is NYT Connections (extended): 28.4% for Seed 2.0 Pro and 93.6% for Kimi K3.
- Seed 2.0 Pro is cheaper at $0.50 / $3 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 256K.
- Kimi K3 has downloadable open weights; the other is API-only.
Side by side
| Seed 2.0 Pro | Kimi K3 | |
|---|---|---|
| Provider | ByteDance Seed | Moonshot AI |
| Noometry Index | 43.2 | 59.5 |
| Released | 2026-02-14 | 2026-07-16 |
| Weights | Proprietary | Open |
| Context window | 256K | 1.05M |
| Max output | 128K | 1.05M |
| Input $ / M tokens | $0.50 | $3 |
| Output $ / M tokens | $3 | $15 |
| Results tracked | 20 | 53 |
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Category by category
Coding Kimi K3 leads
Seed 2.0 Pro: 43.5 (#86), Kimi K3: 61.0 (#10)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| LMArena Coding | 1472 | 1508 |
| DeepSWE | — | 68.5% |
| FrontierCode | — | 44.2% |
| LMArena WebDev | — | 1654 |
| FrontierSWE | — | 25.9% |
| SciCode | — | 59.5% |
| WeirdML | — | 82.6% |
| ALE-Bench | — | 1,524 |
Agentic & Tool Use Not comparable
Seed 2.0 Pro: —, Kimi K3: 41.8 (#20)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| APEX-Agents | — | 50.6% |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 32% |
| GBAEval | — | 48.3% |
| GDP.pdf | — | 19% |
| Vending-Bench 2 | — | 5,165 |
Reasoning Kimi K3 leads
Seed 2.0 Pro: 24.1 (#165), Kimi K3: 63.0 (#17)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| NYT Connections (extended) | 28.4% | 93.6% |
| LMArena Hard Prompts | 1453 | 1496 |
| ARC-AGI-2 | — | 60.4% |
| SimpleBench | — | 60.7% |
| ARC-AGI-1 | — | 94.5% |
| CritPt | — | 23.4% |
| Chess Puzzles | — | 39% |
| Thematic Generalization | 57.1% | — |
| Mystery Game Puzzles | — | 26% |
| DTBench | — | 91.2% |
| LMCA | — | 52.7% |
| Surface Evolver Bench | — | 95% |
| Epoch Capabilities Index | — | 157.45 |
| ForecastBench | — | 61.1 |
Math Kimi K3 leads
Seed 2.0 Pro: 39.3 (#108), Kimi K3: 74.2 (#16)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| LMArena Math | 1439 | 1491 |
| FrontierMath (Tiers 1-3) | — | 72.2% |
| FrontierMath Tier 4 | — | 39% |
| MathArena Final-Answer Competitions | — | 87.8% |
| OTIS Mock AIME 2024-2025 | — | 97.2% |
| ProofBench | — | 87% |
Knowledge Kimi K3 leads
Seed 2.0 Pro: 40.2 (#122), Kimi K3: 63.2 (#21)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| LMArena Expert | 1440 | 1521 |
| GPQA Diamond | — | 93.1% |
| SimpleQA Verified | — | 50.6% |
Multimodal Seed 2.0 Pro leads
Seed 2.0 Pro: 41.5 (#35), Kimi K3: 37.8 (#70)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| LMArena Vision | 1274 | — |
| Blueprint-Bench 2 | — | 29.5% |
| Furniture Assembly | — | 34.2% |
Multilingual Kimi K3 leads
Seed 2.0 Pro: 54.5 (#39), Kimi K3: 56.3 (#21)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| LMArena Non-English | 1441 | 1466 |
| LMArena Chinese | 1489 | 1529 |
| LMArena French | 1471 | 1491 |
| LMArena German | 1442 | 1488 |
| LMArena Japanese | 1408 | 1487 |
| LMArena Korean | 1411 | 1458 |
| LMArena Russian | 1449 | 1482 |
| LMArena Spanish | 1460 | 1472 |
Instruction Following Kimi K3 leads
Seed 2.0 Pro: 74.5 (#91), Kimi K3: 77.7 (#14)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| LMArena Instruction Following | 1414 | 1483 |
Long Context Kimi K3 leads
Seed 2.0 Pro: 43.6 (#90), Kimi K3: 45.8 (#29)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| LMArena Longer Query | 1428 | 1494 |
Writing & Preference Kimi K3 leads
Seed 2.0 Pro: 62.9 (#69), Kimi K3: 76.6 (#4)
| Benchmark | Seed 2.0 Pro | Kimi K3 |
|---|---|---|
| LMArena Text | 1448 | 1476 |
| LMArena Creative Writing | 1406 | 1454 |
| LMArena Multi-Turn | 1441 | 1488 |
| EQ-Bench Creative Writing | — | 2082 |
| EQ-Bench 4 | — | 1339 |
Frequently asked questions
Is Seed 2.0 Pro better than Kimi K3?
Kimi K3 is the stronger model overall, scoring 59.5 to 43.2 on the Noometry Index. Seed 2.0 Pro costs 5.3× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.
Which is cheaper, Seed 2.0 Pro or Kimi K3?
Seed 2.0 Pro is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; Kimi K3 lists at $3 and $15.
Is Seed 2.0 Pro or Kimi K3 better for coding?
Kimi K3 scores higher on coding benchmarks: 61.0 versus 43.5 in the Noometry coding category.
Which has the bigger context window?
Kimi K3 does, with 1.05M tokens against 256K.
How many benchmarks do Seed 2.0 Pro and Kimi K3 share?
18 benchmarks have published results for both models. Seed 2.0 Pro has 20 scored results on Noometry and Kimi K3 has 53.