Model comparison
Seed 2.0 Pro vs o4-mini
Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 41.6 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Seed 2.0 Pro scores higher in 4 categories and o4-mini in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Seed 2.0 Pro leads 62.9 to 54.0.
- Seed 2.0 Pro is cheaper at $0.50 / $3 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- Seed 2.0 Pro accepts more context: 256K tokens versus 200K.
Side by side
| Seed 2.0 Pro | o4-mini | |
|---|---|---|
| Provider | ByteDance Seed | OpenAI |
| Noometry Index | 43.2 | 41.6 |
| Released | 2026-02-14 | 2025-04-16 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $0.50 | $1.10 |
| Output $ / M tokens | $3 | $4.40 |
| Results tracked | 20 | 60 |
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Category by category
Coding Seed 2.0 Pro leads
Seed 2.0 Pro: 43.5 (#86), o4-mini: 40.9 (#127)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Coding | 1472 | 1368 |
| SWE-bench Verified (bash only) | — | 45% |
| Aider Polyglot | — | 72% |
| GSO | — | 3.6% |
| WeirdML | — | 52.6% |
| CadEval | — | 62% |
| ALE-Bench | — | 826.17 |
| AlgoTune | — | 1.72 |
Agentic & Tool Use Not comparable
Seed 2.0 Pro: —, o4-mini: 32.6 (#61)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 53.2% |
| GDPval | — | 25.3% |
| METR Time Horizons | — | 63.9% |
Reasoning Too close to call
Seed 2.0 Pro: 24.1 (#165), o4-mini: 24.6 (#162)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Hard Prompts | 1453 | 1351 |
| ARC-AGI-2 | — | 6.1% |
| SimpleBench | — | 38.7% |
| Kagi LLM Benchmark | — | 67.6% |
| NYT Connections (extended) | 28.4% | — |
| ARC-AGI-1 | — | 58.7% |
| CritPt | — | 0.6% |
| Chess Puzzles | — | 26% |
| EnigmaEval | — | 9.2% |
| Thematic Generalization | 57.1% | — |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 77.6% |
| LMCA | — | 26.5% |
| Epoch Capabilities Index | — | 145.64 |
| ForecastBench | — | 61.8 |
Math o4-mini leads
Seed 2.0 Pro: 39.3 (#108), o4-mini: 40.8 (#89)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Math | 1439 | 1389 |
| FrontierMath (Tiers 1-3) | — | 36.1% |
| FrontierMath Tier 4 | — | 4.9% |
| OTIS Mock AIME 2024-2025 | — | 81.7% |
| Omni-MATH | — | 72% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 24.8% |
| FrontierMath Tier 4 (v1) | — | 6.3% |
Knowledge o4-mini leads
Seed 2.0 Pro: 40.2 (#122), o4-mini: 43.6 (#91)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Expert | 1440 | 1343 |
| GPQA Diamond | — | 79.6% |
| Humanity's Last Exam | — | 18.1% |
| SimpleQA Verified | — | 19.6% |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| Vectara Hallucination Rate | — | 18.6% |
| GPQA (HELM) | — | 73.5% |
Multimodal Seed 2.0 Pro leads
Seed 2.0 Pro: 41.5 (#35), o4-mini: 40.2 (#49)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Vision | 1274 | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |
Multilingual Seed 2.0 Pro leads
Seed 2.0 Pro: 54.5 (#39), o4-mini: 47.0 (#154)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Non-English | 1441 | 1337 |
| LMArena Chinese | 1489 | 1354 |
| LMArena French | 1471 | 1364 |
| LMArena German | 1442 | 1336 |
| LMArena Japanese | 1408 | 1308 |
| LMArena Korean | 1411 | 1312 |
| LMArena Russian | 1449 | 1334 |
| LMArena Spanish | 1460 | 1347 |
Instruction Following Too close to call
Seed 2.0 Pro: 74.5 (#91), o4-mini: 75.2 (#68)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Instruction Following | 1414 | 1321 |
| IFEval | — | 92.8% |
Long Context o4-mini leads
Seed 2.0 Pro: 43.6 (#90), o4-mini: 45.5 (#33)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Longer Query | 1428 | 1315 |
| Fiction.LiveBench | — | 77.8% |
Writing & Preference Seed 2.0 Pro leads
Seed 2.0 Pro: 62.9 (#69), o4-mini: 54.0 (#152)
| Benchmark | Seed 2.0 Pro | o4-mini |
|---|---|---|
| LMArena Text | 1448 | 1353 |
| LMArena Creative Writing | 1406 | 1294 |
| LMArena Multi-Turn | 1441 | 1350 |
| Short-Story Creative Writing | — | 75% |
| WildBench | — | 85.4% |
Frequently asked questions
Is Seed 2.0 Pro better than o4-mini?
Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 41.6 on the Noometry Index.
Which is cheaper, Seed 2.0 Pro or o4-mini?
Seed 2.0 Pro is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; o4-mini lists at $1.10 and $4.40.
Is Seed 2.0 Pro or o4-mini better for coding?
Seed 2.0 Pro scores higher on coding benchmarks: 43.5 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
Seed 2.0 Pro does, with 256K tokens against 200K.
How many benchmarks do Seed 2.0 Pro and o4-mini share?
18 benchmarks have published results for both models. Seed 2.0 Pro has 20 scored results on Noometry and o4-mini has 60.