// head_to_head
Mistral Large 4 vs SpaceXAI: Grok 4.6
Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.
SpaceXAI: Grok 4.6 scores higher, Mistral Large 4 costs less — it depends on your workload.
SpaceXAI: Grok 4.6 is ahead by 23.8 points overall, and Mistral Large 4 lists 45% cheaper per blended million tokens. Whether 23.8 points is worth that depends on how much a wrong answer costs you.
mistralai
Mistral Large 4
- Blended / 1M
- $2.06
- Context
- 1.0M
- Released
- Oct 6, 2026
- Overall score
- 43.9
x-ai
SpaceXAI: Grok 4.6
- Blended / 1M
- $3.00
- Context
- 500K
- Released
- Aug 12, 2026
- Overall score
- 67.8
Specs and pricing
| Metric | Mistral Large 4 | SpaceXAI: Grok 4.6 |
|---|---|---|
| LiveBench overall Weighted mean of the seven LiveBench category scores, 0–100. Higher is better. | 43.9 | 67.8win |
| Cost per point Measured benchmark spend divided by overall score — dollars per point of capability. | $0.0162 | $0.0142 |
| Blended price / 1M 3:1 input:output mix, the usual shape of production traffic. | $2.06win | $3.00 |
| Input price / 1M | $1.36win | $2.00 |
| Output price / 1M | $4.18win | $6.00 |
| Cached input / 1M Price of an input token served from the prompt cache, where the provider publishes one. | $0.140win | $0.500 |
| Context window | 1.0Mwin | 500K |
| Max output tokens | 262K | 450Kwin |
Benchmarks by category
An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Mistral Large 4 on top, SpaceXAI: Grok 4.6 below, both out of 100.
What each one costs to run
Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.
| Workload | Mistral Large 4 | SpaceXAI: Grok 4.6 |
|---|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $572.96/mo | $852.00/mo |
| RAG assistant 8K in / 600 out × 100K requests | $850.80/mo | $1,360/mo |
| Coding agent 40K in / 4K out × 20K requests | $739.20/mo | $1,240/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $1,612/mo | $2,375/mo |
| Bulk classification 500 in / 20 out × 5M requests | $3,208/mo | $4,850/mo |
Which should you pick?
Quality matters more than the bill
SpaceXAI: Grok 4.6
Highest overall LiveBench score of the two at 67.8.
The workload is coding or agentic work
SpaceXAI: Grok 4.6
Leads on long-horizon agentic — 28.0 against 8.8.
You need to fit large documents in one call
Mistral Large 4
Wider context window — 1.0M against 500K.
Mistral Large 4 vs SpaceXAI: Grok 4.6 FAQ
Which is better, Mistral Large 4 or SpaceXAI: Grok 4.6?
SpaceXAI: Grok 4.6 scores higher, Mistral Large 4 costs less — it depends on your workload. SpaceXAI: Grok 4.6 is ahead by 23.8 points overall, and Mistral Large 4 lists 45% cheaper per blended million tokens. Whether 23.8 points is worth that depends on how much a wrong answer costs you.
Is Mistral Large 4 cheaper than SpaceXAI: Grok 4.6?
Mistral Large 4 is cheaper. On a 3:1 input:output blend, Mistral Large 4 lists at $2.06 per million tokens and SpaceXAI: Grok 4.6 at $3.00 — Mistral Large 4 is 45% cheaper. Input and output are priced separately — Mistral Large 4 charges $1.36 in and $4.18 out, SpaceXAI: Grok 4.6 charges $2.00 and $6.00 — so the model that looks cheaper flips depending on how output-heavy your workload is.
Mistral Large 4 vs SpaceXAI: Grok 4.6: which scores higher on benchmarks?
Mistral Large 4 scores 43.9 and SpaceXAI: Grok 4.6 scores 67.8 overall on LiveBench, the weighted mean of its seven categories. That is a 23.8-point lead for SpaceXAI: Grok 4.6. Category scores differ from the overall figure — a model can lead on reasoning and trail on coding, which the per-category table above breaks out.
Which gives better value for money, Mistral Large 4 or SpaceXAI: Grok 4.6?
They are close. Mistral Large 4 costs $0.0162 per point of overall capability and SpaceXAI: Grok 4.6 costs $0.0142, a difference small enough that workload shape will matter more than the rate.
Does Mistral Large 4 or SpaceXAI: Grok 4.6 have a bigger context window?
Mistral Large 4 has the larger context window: 1.0M for Mistral Large 4 against 500K for SpaceXAI: Grok 4.6. Note that a window you can fill is not a window you should fill — retrieval quality usually degrades well before the limit, and you pay for every token you put in it.
Do Mistral Large 4 and SpaceXAI: Grok 4.6 support prompt caching?
Both publish a cached-input rate: $0.140 per million for Mistral Large 4 and $0.500 for SpaceXAI: Grok 4.6, against full input rates of $1.36 and $2.00. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.
Related comparisons
How these numbers are produced
- Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores — LiveBench release 2026-10-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
- “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.