Compare
Kimi K2.6 (free) vs Qwen3 Coder 480b A35b Instruct
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
Kimi K2.6 (free)
Context window
262K
262,144 tokens · ~197K words
Model
Qwen3 Coder 480b A35b Instruct
Context window
262K
262,144 tokens · ~197K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Same context window size for both models.
Kimi K2.6 (free) and Qwen3 Coder 480b A35b Instruct have identical context windows (262K tokens).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Kimi K2.6 (free) | Qwen3 Coder 480b A35b Instruct |
|---|---|---|
| Context window | 262,144 tokens (262K) | 262,144 tokens (262K) |
| Max output tokens | N/A | 262,144 tokens (262K) |
| Speed tier | Balanced | Balanced |
| Vision | Yes | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | No |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | Apr 2026 | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Kimi K2.6 (free) in | Kimi K2.6 (free) out | Qwen3 Coder 480b A35b Instruct in | Qwen3 Coder 480b A35b Instruct out |
|---|---|---|---|---|
| Deepinfra | — | — | $0.290/M | $1.20/M |
Frequently asked questions
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Use a smaller model.
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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model