xAI Launches Grok 4.6 With 500K Token Context Window
xAI has released Grok 4.6, a text-and-image model featuring a 500K token context window. The model is priced at $2.00 per million input tokens and $6.00 per million output tokens, and is available now through OpenRouter's API.
Grok 4.6 at a glance
How Grok 4.6 ranks now
| Benchmark | Score | Rank | Source |
|---|---|---|---|
| Arena Elo | 1456 Elo | 46 of 140 | LMArena, Nov 2026 ↗ |
| GPQA | 93.8% | 9 of 162 | Artificial Analysis, Aug 2026 ↗ |
| Speed (tok/s) | 68 tok/s | 71 of 100 | Artificial Analysis, Nov 2026 ↗ |
Rank is against every model in our database with a sourced score on that benchmark, each counted once with its best score.
xAI Ships Grok 4.6
xAI has released Grok 4.6, the latest version of its Grok model family, now accessible via OpenRouter's API under the identifier x-ai/grok-4.6.
The headline specification is a 500,000-token context window, a substantial jump that puts the model in the upper tier of context length among commercially available frontier models. Grok 4.6 accepts text, images, and files as input and produces text output, placing it in the multimodal category.
Pricing
Grok 4.6 is priced at $2.00 per million input tokens and $6.00 per million output tokens. That output price is three times the input price, a ratio consistent with pricing structures used by other frontier-model providers.
Claims on Capability
According to xAI, Grok 4.6 is the company's "smartest model" to date, with what it describes as frontier performance on coding, knowledge work, and STEM tasks. xAI has not published specific benchmark scores (e.g., MMLU, HumanEval, or GPQA results) alongside this release, so these performance claims remain unverified pending independent testing or official benchmark disclosures.
No training data cutoff date, parameter count, or architecture details have been disclosed for Grok 4.6.
Availability
The model is live now through OpenRouter, which functions as a routing layer giving developers unified API access to multiple model providers. This makes Grok 4.6 immediately usable by any application already integrated with OpenRouter's infrastructure, without requiring a direct integration with xAI's own API.
What This Means
A 500K token context window is large enough to process lengthy codebases, multi-document research collections, or extended conversation histories in a single call — a meaningful practical upgrade for developers building agents or retrieval-heavy applications, regardless of how the underlying model performs on standard benchmarks.
The $2/$6 per-million-token pricing positions Grok 4.6 competitively against other frontier multimodal models, though absent independent benchmark data, it's not yet possible to verify xAI's claims of "frontier performance" relative to models like GPT-4-class or Claude systems. Buyers evaluating Grok 4.6 for production use should request or run their own benchmark comparisons before committing, particularly on coding and STEM tasks where xAI's claims are most specific. The rapid availability through OpenRouter, rather than an exclusive xAI-only launch, suggests xAI is prioritizing developer reach over a walled-garden distribution strategy for this release.
Related Articles
Baidu releases ERNIE 5.5 Flash Preview: 280B parameters, 14B active, 1M context, $0.28/1M input
Baidu has released ERNIE 5.5 Flash Preview, a model with 280 billion total parameters, 14 billion active per token, and a 1 million token context window. It is listed at $0.28 per 1M input tokens and $1.13 per 1M output tokens on OpenRouter via Baidu Qianfan.
Baidu releases ERNIE-Light-DT-1.0 with 1.0M-token context at $1.13 input, $3.94 output per 1M tokens
Baidu has released ERNIE-Light-DT-1.0 through Baidu Qianfan, with a 1.0M-token context window and pricing of $1.13 input and $3.94 output per 1M tokens. The model is based on open-source GLM models and uses Baidu Sparse Attention (BSA), which Baidu says lowers KV cache storage and compute costs.
Google DeepMind releases AlphaGenome 2, trained on 100M+ cell profiles across 68 tissues
Google DeepMind has released AlphaGenome 2, a model trained on more than 100 million individual cell profiles across 68 tissues to predict how genetic variants act in specific cell types and states. It is available for non-commercial research through the AlphaGenome API from today, with a limited private preview for commercial research.
Valory unveils open-weight Olas-Predict-Qwen3.8-27B, scoring 67.3% balanced accuracy on prediction markets
Valory has unveiled Olas-Predict-Qwen3.8-27B, a 27-billion-parameter open-weight forecasting model. The company says it comes within 1.2 percentage points of GPT-5.6 on a test of real-world prediction markets.
Comments
Loading...