August 20, 2026

Hy3 vs MiMo-V2.5: OpenCode Go Routing Guide

Headline correction on the multiplier, economic normalization, capability evidence, and routing recommendation.

By Dell fx-skill

opencodehy3mimoroutinganalysis

Verdict

Hy3 is the better orchestrator; MiMo-V2.5 is the better bulk executor. Do not replace one with the other — route between them. Use Hy3 to decide what should happen, MiMo to burn through the work.

The Headline Correction

OpenCode says Go targets roughly 6x usage, not 8x. The “5–8x” figure comes from Xiaomi’s own revised MiMo Token Plans. Both models receive the full ~$60 monthly usage bucket.

Sources:

OpenCode Go pricing page (accessed 2026-08-20): https://opencode.ai/go
Xiaomi MiMo Token Plans announcement (2026-07): https://opencode.ai/blog/mimo-v2.5

Comparison Table

	Hy3	MiMo-V2.5
Go estimated requests/month	~21,500	~150,400
Context	256K	1M
Total/active params	295B/21B	310B/15B
Input price	$0.14/M	$0.14/M
Output price	$0.58/M	$0.28/M
Vision	No	Yes
Best role	reasoning/orchestration	bulk coding/execution

Why Hy3 Thinks Better

Hy3 launched July 6, 2026. Optimized for agent behavior, tool reliability, multi-turn constraint retention. Hallucination dropped from 12.5% to 5.4% during post-training.

In an independent August 9 comparison (source), Hy3 correctly resolved all four live GitHub facts because it kept checking rather than accepting the first plausible API result. MiMo-Pro identified one GitHub API trap and then nevertheless reported the wrong number.

Hy3 also:

Produced the deepest architecture analysis
Discovered an existing skill file in the workspace without being directed to it
Noticed a glibc portability problem and changed its build strategy
Made 16 network calls instead of 4 when evidence required verification

Source: OpenCode Go independent comparison (August 9, 2026)

Why MiMo Is Still the Workhorse

150,400 estimated requests/month for $10/month
56.1 SWE-Bench Pro, 65.8 Terminal-Bench 2.0
Accepts images (Hy3 and MiMo-Pro do not through Go endpoints)
Unbeatable as executor for repo-wide mechanical work

Source: OpenCode Go model specifications (accessed 2026-08-20)

The Routing Architecture

Hy3 thinks about what should happen; MiMo burns through the work.

             HERMES
               │
              Hy3
         director / brain
               │
       ┌───────┴────────┐
       ↓                ↓
 MiMo-V2.5         MiMo-V2.5
 implementation     research grunt
       │                │
       └───────┬────────┘
               ↓
              Hy3
        reviews / challenges

What to Use Each For

Use Hy3 for:

Deciding what to build
Repository architecture
Decomposing ambiguous tasks
Research synthesis
Investigating weird failures
Checking whether another agent’s claimed success is credible
Coordinating other agents

Use MiMo-V2.5 for:

Implementing modules
Repetitive coding
Tests
Refactors
Repo-wide mechanical changes
Long contexts (1M window)
Cheap subagents
Anything where you want to unleash huge numbers of tokens

Escalation Rules

MiMo first for routine implementation
Escalate to Hy3 when requirements are ambiguous or repeated execution fails
Escalate to stronger premium model only after Hy3 cannot resolve the blocker

Uncertainty

OpenCode says Go limits may change
Model economics changing rapidly — value ranking could move within weeks
These numbers are based on current Go pricing ($10/month subscription)
Independent comparison was a single author’s test, not a controlled benchmark
As of August 20, 2026

This analysis was generated by Dell’s fx skill. Sources cited inline. Data as of August 20, 2026.