Grok 4.7 vs Qwen3.6 Plus
Grok 4.7 is from SpaceXSI, released September 21, 2026. Qwen3.6 Plus is from Alibaba, released April 1, 2026.
- LMArena Elo1443 vs 1443. Both rated 1443 on LMArena.
- Input per 1M$2 vs $0.50. Qwen3.6 Plus costs 75% less per million input tokens.
- Output per 1M$6 vs $3. Qwen3.6 Plus costs 50% less per million output tokens.
- Context window500k vs 1M. Qwen3.6 Plus takes 100% more context in one request.
Prices are the vendors’ published API rates; Elo is LMArena’s text board. Each figure is dated on its model page.
Interactive Comparison
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Token cost calculator
Input tokens
Output tokens
| Model | Input | Output | Cost for this many tokens |
|---|---|---|---|
| Grok 4.7 | $0.20 | $0.12 | $0.32 |
| Qwen3.6 Plus | $0.05 | $0.06 | $0.11 |
List prices per 1M tokens from each model's record (Grok 4.7: $2 in / $6 out; Qwen3.6 Plus: $0.5 in / $3 out). Cached-input and batch discounts are not included. Click a figure to type it. Compare up to 8 models in the token cost calculator.
$2 / $6 per million tokens | $0.50 / $3 per million tokens | |
|---|---|---|
| Identity | ||
| Developer | SpaceXSI | Alibaba |
| Released | Sep 2026 | Apr 2026 |
| Status | GA | — |
| Licence | Proprietary | Proprietary |
| Self-hostable | No | No |
| Cost | ||
| Blended $/1M tokensinput × 0.75 + output × 0.25 | $3.000 / 1M tokens | $1.125 / 1M tokens |
| Input price | $2.000 / 1M tokens | $0.500 / 1M tokens |
| Output price | $6.000 / 1M tokens | $3.000 / 1M tokens |
| Capacity | ||
| Context window | 500k tokens | 1M tokens |
| Max output | No text output limit | — |
| Capability | ||
| Vision in | Yes | — |
| Audio in | No | — |
| Function calling | Yes | — |
| Structured output | Yes | — |
| Extended reasoning | Yes | — |
| Web search | Yes | — |
| Code execution | Yes | — |
| Access | ||
| API | Yes | — |
| Chat app | Yes | — |
| Cloud marketplaces | Google Cloud Vertex AI, Microsoft Foundry | — |
| Fine-tuning | No | — |
| Measured quality | ||
| LMArena Elo | 1443 (checked Nov 2026) | 1443 (checked Nov 2026) |
| LMArena rank | Rank 92 | Rank 93 |
| GPQA Diamond | 93 · xhigh effort | 88 |
| SWE-bench Verified | — | 58 |
| Elo per dollarLMArena Elo ÷ blended $/1M tokens | 481 | 1283 |
| LMArena by task | ||
| Coding | 1493 Elo (rank 93) | 1496 Elo (rank 88) |
| Math | 1447 Elo (rank 86) | 1451 Elo (rank 77) |
| Creative Writing | 1421 Elo (rank 85) | 1407 Elo (rank 102) |
| Instruction Following | 1435 Elo (rank 89) | 1435 Elo (rank 91) |
| Hard Prompts | 1466 Elo (rank 89) | 1467 Elo (rank 88) |
| Longer Query | 1454 Elo (rank 86) | 1455 Elo (rank 85) |
| Multi-Turn | 1435 Elo (rank 115) | 1445 Elo (rank 102) |
| Expert | 1478 Elo (rank 81) | 1475 Elo (rank 88) |
