The Pattern: Use Kimi K2.5 (Moonshot AI) through Fireworks AI at 200 tokens/sec within OpenCode for fast, cheap everyday coding tasks. Save Claude/GPT-4 for complex work that needs PhD-level reasoning.
Not every coding task needs the most powerful model. In fact:
Kimi K2.5 is great for:
Not ideal for:
Running at 200 tokens/sec through Fireworks means:
Launch OpenCode:
opencode
Run:
/connect
Select: Custom Provider or Models.dev
Enter Fireworks credentials:
accounts/fireworks/models/kimi-k2-5 (or latest variant)cd ~/project
opencode
Ask:
What's the structure of this codebase?
You should get instant responses.
Scenario: Add a simple feature, fix a bug, refactor
opencode
/model kimi-k2-5
Then:
Add a new route /users/:id/profile that returns user data.
Use the same pattern as /users/:id
Kimi responds quickly. You review. Done.
Cost: ~$0.001-0.005 per request
Scenario: Architectural decision, performance optimization, novel approach
opencode
/model claude-opus
Then:
We have N+1 query problems in the user dashboard.
Show me the trade-offs between:
1. Eager loading with JOINs
2. DataLoader-style batch loading
3. Moving to a read replica
Recommend which for a SaaS with 10K users.
Claude thinks deeply. You get nuanced analysis.
Cost: ~$0.02-0.05 per request
During the same session:
Now add field-level permission checks to @utils/auth.ts
Kimi handles it. No need for the expensive model.
Access to:
Daily work with Kimi K2.5:
vs Claude Opus (for comparison):
Annual savings: $0.05-0.10/day × 250 working days = $12-25/year per developer
More importantly: No waiting for responses. Kimi is fast.
| Task | Model | Why |
|---|---|---|
| Refactor existing code | Kimi K2.5 | Fast, cheap, sufficient |
| Add straightforward feature | Kimi K2.5 | Well-defined scope |
| Code review / nitpicks | Kimi K2.5 | Pattern matching is easy |
| Generate tests | Kimi K2.5 | Template-based work |
| Document code | Kimi K2.5 | Straightforward extraction |
| Architectural decision | Claude/GPT-4 | Needs deep reasoning |
| Performance optimization | Claude/GPT-4 | Complex trade-offs |
| Novel algorithm | Claude/GPT-4 | Requires creativity |
| Security audit | Claude/GPT-4 | Edge cases matter |
| Complex debugging | Claude/GPT-4 | Might need original thinking |
/model kimi-k2-5
Then ask for 3-4 related changes. Kimi batches well.
/model claude-opus
If you're uncertain, spend the $0.02-0.05 for peace of mind.
Keep Fireworks dashboard open in another tab. See costs in real-time.
In Fireworks settings, set a daily spending limit (e.g., $10/day).
Tab key → Plan Mode
Kimi's plans are good for everyday work. Use them before building.
1. Create issue in Linear
Title: "Add user profile API endpoint"
Acceptance Criteria:
- GET /users/:id/profile
- Returns user data (id, name, email)
- Same auth pattern as existing endpoints
2. Start OpenCode with Kimi
opencode
/model kimi-k2-5
3. Ask OpenCode
"Implement Linear issue RFX-XX: Add user profile API endpoint"
4. Review changes
git diff
5. Push and create PR
git push → GitHub PR
6. Human review
"Looks good, merged"
7. Linear updates automatically
(GitHub integration marks as Done)
Cost: ~$0.05-0.10 per issue
Time: 5-10 minutes
A: For well-scoped work, yes. It's good at following patterns and generating standard code. For novel/risky changes, spend extra on Claude.
A: No. It's cloud-based through Fireworks. You need internet. For offline, use local Ollama + Llama 2.
A: Yes. Use /model [name] to switch anytime.
A: Switch to another provider (OpenAI, Anthropic direct, others). OpenCode supports all of them.
A: Yes. Cursor supports custom providers via their configuration.
What you actually need:
Total monthly cost: $5-20 depending on usage.
Compare to:
With Fireworks: Probably the cheapest + fastest combo.
$ cd ~/my-project
$ opencode
OpenCode v0.5.2
>
/model kimi-k2-5
Model switched to kimi-k2-5 (Fireworks AI)
>
Add a GET endpoint to /api/posts that returns all posts.
Use the same error handling pattern as /api/users.
[Kimi thinks for 1 second]
I'll add a GET endpoint to /api/posts that returns all posts.
Looking at /api/users for the error handling pattern...
Here's what I'll do:
1. Create POST handler in /api/posts.ts
2. Query posts from database
3. Apply same error handling (try/catch + res.status(500))
4. Return JSON response
Ready to implement. Go ahead? (Y/n)
y
[Changes made to 2 files]
✓ /api/posts.ts - Added GET handler
✓ /types/post.ts - Updated types
All changes saved. Run `git diff` to review.
git diff
[Shows the changes - looks good]
/share
Conversation saved: https://opencode.ai/s/abc123xyz
Done. ~2 minutes of work. Cost: ~$0.02.
Use the right tool for the job.
Running Kimi at 200 tokens/sec through Fireworks gives you instant feedback without the Claude Opus price tag. Perfect for a productive daily driver.
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