Tencent Hy3
TL;DR
Open-sourceFree sparse-MoE reasoning and agentic tool use through July 21, 2026.
Available on
Free on every plan while capacity lasts.
Switch with
Pick Tencent Hy3 from the selector.
Input
$0
per M tokens
Output
$0
per M tokens
Cache read
$0
per M tokens
Tencent Hy3 in Command Code
Tencent Hy3 is a 295B sparse-MoE reasoning and agentic model with configurable reasoning effort, stable tool calling, and a 256K context window.
Tencent Hy3 vs the Command Code lineup
Pricing for Tencent Hy3 alongside the most relevant peers. Tencent Hy3 is not yet on the Intelligence Index; benchmarked peers show their scores.
| Model | Intelligence | Speed | Input $/M | Output $/M |
|---|---|---|---|---|
| Tencent Hy3 | Not yet scored | — | $0.00 | $0.00 |
| DeepSeek V4 Flash | 47 | ~82 tok/s | $0.14 | $0.28 |
| Kimi K2.6 | 54 | ~40 tok/s | $0.95 | $4.00 |
| GLM-5 | 50 | ~61 tok/s | $1.00 | $3.20 |
| DeepSeek V4 Pro | 52 | ~35 tok/s | $0.435 | $0.87 |
| Claude Sonnet 4.6 | 52 | ~62 tok/s | $3.00 | $15.00 |
What Tencent Hy3 is best for
Cost-free agent loops, reasoning-heavy exploration, tool-calling workflows, and any session where you want to preserve credits while the free tier is active.
When to switch away from Tencent Hy3
Switch to Kimi K2.6
For the top-ranked open-weights model in the current Intelligence Index (54).
Switch to DeepSeek V4 Flash
For a benchmarked low-cost model with published speed and quality numbers.
Switch to Claude Sonnet 4.6
For the recommended premium baseline with strong prompt caching.
Free-tier billing in Command Code
Tencent Hy3 is billed at $0 for input, output, and cache-read tokens while the free tier is active. The Usage page still records token counts and request history, but these requests do not spend Command Code credits.
Plan availability
Open-source model. Available on every plan, including Go ($1/mo).
All Command Code models, ranked by quality and speed
Quality is the Intelligence Index — an aggregate score across reasoning, math, coding, and knowledge evaluations. Speed is reported output tokens per second. Models without a published score are noted.
| Model | Tier | Intelligence Index | Output speed |
|---|---|---|---|
| GPT-5.5 | Premium | 60 | ~65 tok/s |
| Claude Opus 4.7 | Premium | 57 | ~49 tok/s |
| GPT-5.4 | Premium | 57 | ~84 tok/s |
| GPT-5.3 Codex | Premium | 54 | ~72 tok/s |
| Kimi K2.6 | Open-source | 54 | ~40 tok/s |
| Claude Sonnet 4.6 | Premium | 52 | ~62 tok/s |
| DeepSeek V4 Pro | Open-source | 52 | ~35 tok/s |
| GLM-5 | Open-source | 50 | ~61 tok/s |
| GPT-5.4 Mini | Premium | 49 | ~164 tok/s |
| DeepSeek V4 Flash | Open-source | 47 | ~82 tok/s |
| Claude Haiku 4.5 | Premium | 37 | ~97 tok/s |
| Kimi K2.5 | Open-source | 37 | ~35 tok/s |
| Claude Sonnet 5 | Premium | Not yet scored | — |
| Claude Opus 4.8 | Premium | Not yet scored | — |
| Claude Opus 4.6 | Premium | Not yet scored | — |
| Tencent Hy3 | Open-source | Not yet scored | — |
| MiniMax M2.5 | Open-source | Not yet scored | — |
Switching models with /model
In an interactive Command Code session, run /model to open the model selector. Pick the model you want and it applies to this session and to future sessions until you change it again. Premium models require Pro or higher; open-source models are available on every plan, including Go.
cmd # start an interactive session
/model # open the selector and pick a modelPlans and pricing
Command Code is a subscription with model usage at API rates. Each plan ships with monthly LLM credits. Credits roll over and never expire. Auto top-up keeps you running if you go over.
| Plan | Price/mo | LLM credits | Models |
|---|---|---|---|
| Go | $1 | $10 | Open-source only |
| Pro | $15 | $30 | Open-source + premium |
| Max 10× | $100 | $150 | Open-source + premium |
| Max 20× | $200 | $300 | Open-source + premium |
| Teams | $40 / seat | Pooled | Open-source + premium |
| Enterprise | Custom | Custom | Custom pool, SSO, audit logs |
Frequently asked questions
Is Tencent Hy3 benchmarked?
Not yet in the current Intelligence Index. It is available in Command Code as a 295B sparse-MoE reasoning model with tool calling and a 256K context window.
Which Command Code model should I use?
For open models, Kimi, DeepSeek, Qwen, MiMo are all strong picks. For closed models, Claude Sonnet 5 is the recommended default — the best combination of speed and intelligence, and a drop-in upgrade from Sonnet 4.6. Switch to Claude Opus 4.8 (the newest Anthropic flagship) for the most capable long-horizon agentic coding, GPT-5.5 (Intelligence Index 60) for the absolute hardest reasoning, or Claude Opus 4.7 / GPT-5.4 (both 57) for top-tier work at lower cost. For fast lookups, Claude Haiku 4.5 or GPT-5.4 Mini. For open-source, Kimi K2.6 leads the open-weights tier (Intelligence Index 54).
Can I mix Tencent Hy3 with other models in a workflow?
Yes. Switch per session using /model. Common pattern: keep Sonnet 5 as the default and switch up to Opus 4.8 or down to Haiku 4.5 as the task calls for it.
Are open-source model prices fixed?
Open-source models are routed across multiple upstream providers for high availability. The price listed for each is the mean per-provider rate. Actual cost on a given request may vary slightly. The Usage page reflects the price charged.
Is Command Code free to try?
The Go plan starts at $1/mo with $10 in LLM credits. It covers open-source models only. Pro at $15/mo unlocks premium models with $30 in LLM credits.
Does Command Code train on my code?
No. Command Code does not train on your code or store your code snippets. taste-1 data is stored locally in your project directory.
Where can I track my usage?
The Usage page in Studio shows per-request cost, token counts, and which model ran. Settings > Billing lets you change plans, buy credits, or enable auto top-up.
Does Command Code replace my editor?
No. Command Code is editor-agnostic — it runs as a CLI and works alongside any editor (Cursor, VS Code, Zed, JetBrains, Neovim, etc.).
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