- Score
- 8.6 (+1.18 points)
- Total Cost (Current Price)
- $0.061 · 95.3% cheaper
- Response Time (avg)
- 7.51s · 92.5% faster
Summary
Seed-2.0-Code scores 7.4 on AI BENCHY and ranks #181. It has 8.0 reliability, a 65.2% pass rate, $1.275 total cost, and 100.65s average response time.
What makes Seed-2.0-Code unique: It stands out most in Coding, where it ranks #2, while Data parsing and extraction is its weakest area at #17.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 9.4 (+1.96 points)
- Total Cost (Current Price)
- $0.183 · 85.7% cheaper
- Response Time (avg)
- 6.24s · 93.8% faster
- Score
- 8.3 (+0.87 points)
- Total Cost (Current Price)
- $0.047 · 96.3% cheaper
- Response Time (avg)
- 18.07s · 82.0% faster
Model facts
Researched on 2026-08-12
- Parameters
- ~200B total (~20B active)
- Architecture
- MoE
- Availability
- Closed
- License
- -
Best estimate from public evidence; the vendor did not disclose every value. ByteDance documents the API-only Code model, but does not disclose its architecture or parameter counts; estimate follows the Seed2 production tier.
7.4
Consistency
7.4
8.0
$1.275
Total Output Tokens
384,093
Total Input Tokens
244,499
Input Price
$0.500 / 1M
Output Price
$3.000 / 1M
Cache Read Price
N/A
Cache Write Price
N/A
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Flaky tests
7
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#181 Seed-2.0-Code
medium- Cost
- $0.026
- Time
- 122.8s
- Tokens
- 8,630 tok
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-10-01 04:09 Re-test | 7.4 | 8.0 | $1.275 | Current run | |
| 2026-08-12 23:02 Initial run | 6.9 | 4.7 | $1.049 | Compare |
This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-01 04:09 · Current run | 69/69 attempts | 7.4 | 7.4 | 8.0 | 11/23 | 7 | 384,093 | 244,499 | $1.275 | 100.65s |
| 2026-08-12 23:02 · Initial run | 66/66 attempts | 6.9 | 6.7 | 4.7 | 10/22 | 9 | 336,696 | 76,027 | $1.049 | 93.60s |
| Difference | — | +0.5 | +0.7 | +3.3 | +1 | -2 | +47397 | +168472 | +$0.227 | +7044ms |
Benchmark coverage differs: 69/69 attempts (Target: 3 repeats per test) versus 66/66 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.
These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.
Charts
Choose the first model, then click a second model to open a side-by-side page.
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Quick Compare
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 10.0 | 10.0 | |
| Anti-AI Tricks | 6.9 | 9.5 | |
| Coding | 8.9 | 7.8 | |
| Combined | 4.7 | 1.6 | |
| Data parsing and extraction | 7.3 | 8.9 | |
| Domain specific | 5.3 | 7.2 | |
| General Intelligence | 4.8 | 3.2 | |
| Instructions following | 9.8 | 10.0 | |
| Puzzle Solving | 8.2 | 7.2 | |
| Tool Calling | 4.7 | 1.6 | |
| Trivia | 3.0 | 10.0 |