#61 DeepSeek V4 Pro
none
Invalid SVG
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
AI BENCHY Compare
DeepSeek: DeepSeek V4 Pro vs Xiaomi: MiMo-V2.5-Pro
Summary
DeepSeek V4 Pro vs MiMo-V2.5-Pro benchmark comparison: MiMo-V2.5-Pro leads on average score with 7.4 vs 7.2. DeepSeek V4 Pro has the lower benchmark cost at $0.030 vs $0.106. DeepSeek V4 Pro is faster at 5.30s vs 26.13s, with pass rates of 52.4% vs 68.3%.
Recommended model: DeepSeek V4 Pro - Its score stays close to the best score here (7.2 vs 7.4), while costing about 3.6x less than MiMo-V2.5-Pro.
Last updated at: 2026-06-12
| Metric | DeepSeek V4 Pro DeepSeek V4 Pro none | MiMo-V2.5-Pro MiMo-V2.5-Pro medium |
|---|---|---|
| Score | 7.2 | 7.4 |
| Rank | #61 | #53 |
| Reliability | 9.9 | 10.0 |
| Consistency | 8.8 | 8.5 |
| Tests Correct | ||
| Attempt pass rate | 52.4% | 68.3% |
| Flaky tests | 3 | 4 |
| Total Runs | 61 | 63 |
| Cost per result | 0.293 | 2.541 |
| Total Cost | $0.030 | $0.106 |
| Input Price | $0.435 / 1M | $0.435 / 1M |
| Output Price | $0.870 / 1M | $0.870 / 1M |
| Total Input Tokens | 53,078 | 40,854 |
| Output Tokens | 7,047 | 5,015 |
| Reasoning Tokens | 0 | 97,742 |
| Response Time (avg) | 5.30s | 26.13s |
| Response Time (max) | 23.74s | 130.77s |
| Response Time (total) | 111.39s | 548.65s |
Generation showcase
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#53 MiMo-V2.5-Pro
medium
Invalid SVG
- Cost
- $0.000
- Time
- 300.0s
- Tokens
- 0 tok
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Category Breakdown
| Anti-AI Tricks | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 3.2 | 6.1 | 16.7% | 2 | 4.02s | 540 | 1,168 | 0 | |
| MiMo-V2.5-Pro | 10.0 | 10.0 | 100.0% | 0 | 3.26s | 621 | 323 | 1,179 |
| Coding | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 5.6 | 10.0 | 33.3% | 0 | 5.62s | 6,795 | 1,123 | 0 | |
| MiMo-V2.5-Pro | 6.2 | 4.7 | 66.7% | 2 | 92.07s | 6,543 | 780 | 51,218 |
| Combined | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 9.5 | 10.0 | 100.0% | 0 | 23.74s | 27,529 | 2,235 | 0 | |
| MiMo-V2.5-Pro | 10.0 | 10.0 | 100.0% | 0 | 53.36s | 15,060 | 348 | 11,870 |
| Data parsing and extraction | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 10.0 | 10.0 | 100.0% | 0 | 4.61s | 7,568 | 200 | 0 | |
| MiMo-V2.5-Pro | 7.3 | 5.8 | 83.3% | 1 | 18.81s | 7,746 | 260 | 8,383 |
| Domain specific | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 5.3 | 10.0 | 33.3% | 0 | 3.72s | 666 | 24 | 0 | |
| MiMo-V2.5-Pro | 5.3 | 10.0 | 33.3% | 0 | 37.87s | 630 | 275 | 17,023 |
| General Intelligence | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 5.0 | 10.0 | 0.0% | 0 | 2.05s | 471 | 126 | 0 | |
| MiMo-V2.5-Pro | 5.5 | 10.0 | 0.0% | 0 | 4.02s | 492 | 155 | 163 |
| Instructions following | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 6.3 | 5.8 | 66.7% | 1 | 4.12s | 627 | 713 | 0 | |
| MiMo-V2.5-Pro | 9.9 | 10.0 | 100.0% | 0 | 2.77s | 672 | 82 | 803 |
| Puzzle Solving | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 10.0 | 10.0 | 100.0% | 0 | 3.61s | 594 | 442 | 0 | |
| MiMo-V2.5-Pro | 6.7 | 7.9 | 55.6% | 1 | 5.31s | 660 | 540 | 2,181 |
| Tool Calling | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 10.0 | 10.0 | 100.0% | 0 | 7.40s | 8,105 | 328 | 0 | |
| MiMo-V2.5-Pro | 10.0 | 10.0 | 100.0% | 0 | 16.87s | 8,220 | 311 | 2,908 |
| Trivia | Score | Consistency | Attempt pass rate | Flaky tests | Tests Correct | Response Time (avg) | Input Tokens | Output Tokens | Reasoning Tokens |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro | 3.0 | 10.0 | 0.0% | 0 | 5.76s | 183 | 688 | 0 | |
| MiMo-V2.5-Pro | 3.0 | 10.0 | 0.0% | 0 | 12.46s | 210 | 1,941 | 2,014 |
Quick Compare
Switch Comparison Pair
DeepSeek V4 PrononevsGemma 4 26B A4BmediumFree AvailableGemini 3 Flash PreviewlowvsMiMo-V2.5-PromediumDeepSeek V4 PrononevsGLM 5V TurbomediumDeepSeek V4 PrononevsMiMo-V2-FlashmediumDeepSeek V4 PrononevsStep 3.7 FlashhighDeepSeek V4 PrononevsGLM 5.1mediumGPT-5.3 ChatnonevsMiMo-V2.5-PromediumClaude Sonnet 4.6nonevsMiMo-V2.5-PromediumDeepSeek V4 PrononevsKimi K2.7 CodemediumDeepSeek V4 PrononevsGrok 4.20mediumClaude Opus 4.8nonevsMiMo-V2.5-PromediumDeepSeek V4 PrononevsGemini 3 Flash Previewlow