HY3 vs MiMo V2.5 Pro

Select two models to compare their coding performance, pricing, and features.

Key Takeaways

Coding tier: MiMo V2.5 Pro has a higher reference index on the selected shared benchmark configuration than HY3 (91.23 vs 88.93, a 2.30-point difference). This does not by itself establish general coding superiority. Editorial tiers: HY3 = B; MiMo V2.5 Pro = B. Tiers are separate editorial assessments and do not establish a reliable order within a tier.
API cost estimate: Estimated 1M in / 200K out tokens: $0.2376 (HY3) vs $0.6090 (MiMo V2.5 Pro).
Metric HY3 MiMo V2.5 Pro
Coding Index
88.93
91.23
Coding tier B B
Input Price $0.132/1M $0.435/1M
Output Price $0.528/1M $0.87/1M
Context Window 262.14K 1.05M

Coding Index

Coding Index · Reference baseline: 100

HY3 88.93
MiMo V2.5 Pro 91.23

Integer index difference: 2.30

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.

Verdict

Both models share an editorial tier. The evidence does not establish a reliable order within it; compare them on your own projects.

Capabilities & Use Cases Comparison

HY3 Tier B

Best For
  • •Bilingual development (CN/EN)
  • •Budget reasoning tasks
  • •Code generation and debugging
  • •Chinese tech ecosystem
Strengths
  • •Tencent's latest reasoning-focused model
  • •Strong bilingual Chinese-English coding support
  • •Competitive performance for its price tier
  • •Growing ecosystem in Chinese tech

MiMo V2.5 Pro Tier B

Best For
  • •Coding tasks
  • •Reasoning
  • •Full-stack development
  • •Budget coding
Strengths
  • •Strong coding performance
  • •Good at reasoning tasks
  • •Competitive pricing
  • •Growing ecosystem

HY3

OpenRouter quote 2026-09-07
Benchmark evidence and ranking method · HY3

Single-source measurements

Artificial Analysis · Hy3

Test configuration: unspecified

Terminal-Bench 2.1: 64.42% · SciCode: 48.61%

ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.

Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.

MiMo V2.5 Pro

OpenRouter quote 2026-09-07
Benchmark evidence and ranking method · MiMo V2.5 Pro

Single-source measurements

Artificial Analysis · MiMo-V2.5-Pro

Test configuration: unspecified

Terminal-Bench 2.1: 65.17% · SciCode: 50.58%

ModelRank assigns editorial tiers using public coding evidence, not automatic index thresholds or statistically proven classes. Price, speed, context size and sponsorship do not affect tiers.

DeepSeek V4 Flash 0731 = 100. The index reflects two shared tests, not capability multiples or statistically established gaps.

Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

Data checked: 2026-09-10. Snapshot date is the retrieval date, not necessarily the evaluation date.

Results reflect particular model configurations. Agent harnesses, reasoning effort, tools, budgets and tasks may differ. Close indices do not establish superiority. B describes a relative position in this selected group, not an inability to code.

API cost estimate

1M input + 200K output (USD):

HY3: $0.2376

MiMo V2.5 Pro: $0.6090

Estimates use the displayed channel and time band; DeepSeek uses peak rates. Cache discounts, tool fees, long-context price tiers and uncounted additional tokens are excluded.

Frequently Asked Questions

Which model is better for coding: HY3 or MiMo V2.5 Pro?

MiMo V2.5 Pro has a higher reference index on the selected shared benchmark configuration than HY3 (91.23 vs 88.93, a 2.30-point difference). This does not by itself establish general coding superiority. Editorial tiers: HY3 = B; MiMo V2.5 Pro = B. Tiers are separate editorial assessments and do not establish a reliable order within a tier.

How do HY3 and MiMo V2.5 Pro compare in API pricing and costs?

HY3: $0.132/1M input, $0.528/1M output (OpenRouter quote); MiMo V2.5 Pro: $0.435/1M input, $0.87/1M output (OpenRouter quote). 1M input + 200K output (USD): $0.2376 vs $0.6090.

What are the context window sizes of HY3 and MiMo V2.5 Pro?

HY3 provides a 262,144 token context window, while MiMo V2.5 Pro provides 1,050,000 tokens.

Try HY3 → Try MiMo V2.5 Pro →