Verified November 2026

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Grok 4.6 vs Mistral Large

A straight cost comparison of Grok 4.6 (xAI Grok) and Mistral Large (Mistral AI), per 1,000,000 tokens, verified November 2026.

$2Grok 4.6 input / 1M
$2Mistral Large input / 1M
TieBlended price gap
EqualCheaper blended

Rate-by-rate comparison

USD per 1M tokens · November 2026
MetricGrok 4.6Mistral LargeWinner
Input / 1M$2$2Tie
Cached input / 1M$0.50$0.20Mistral Large
Cache write / 1M——Tie
Output / 1M$6$6Tie
Context window500,000128,000Grok 4.6
Batch APIYesYesTie
Long-context tier> 200,000None—

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

ModelBlended costDifference
Grok 4.6$3.50Tie
Mistral Large$3.50Tie

Ten workloads, two bills

The same two models, priced across ten workloads that differ only in their input:output ratio. Nothing else changes — no retries, no system prompt, no middleware.

WorkloadGrok 4.6Mistral LargeWinner
Classification
100K reqs · 500 in / 10 out
$106$106Tie
Data extraction
10K reqs · 2K in / 200 out
$52$52Tie
Support chat
1K reqs · 4K in / 600 out
$11.60$11.60Tie
Code review
2K reqs · 8K in / 1.5K out
$50$50Tie
Summarisation
1K reqs · 20K in / 1K out
$46$46Tie
Agent loop
5K reqs · 12K in / 2K out
$180$180Tie
Translation
500 reqs · 15K in / 15K out
$60$60Tie
Long-document QA
200 reqs · 120K in / 800 out
$48.96$48.96Tie
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$38.57$25.08Mistral Large
Nightly batch
10K reqs · 10K in / 2K out
$160$160Tie

Grok 4.6 wins 0 of 10, Mistral Large wins 1 of 10. The winner is set by the token mix, not by the headline rate.

Where the two bills cross over

Both models bill identical input and output rates, so there is no crossover: the two bills are equal at every ratio, and the choice rests entirely on context window, throughput and output quality.

Cost at four scales

The same support-chat workload (4K input, 600 output per request) at four monthly volumes.

Requests / monthGrok 4.6Mistral LargeDifference
100$1.16$1.16Tie
1,000$11.60$11.60Tie
10,000$116$116Tie
100,000$1,160$1,160Tie

What caching does to each bill

Caching only helps the part of the prompt that repeats. This is the support-chat workload (1,000 requests, 4,000 input tokens each) with an increasing share of that prompt served from a warm cache, written once on the first request.

Cached share of the promptGrok 4.6Mistral LargeWinner
0%$11.60$11.60Tie
50%$8.60$8Mistral Large
80%$6.80$5.85Mistral Large
95%$5.91$4.77Mistral Large

Both models publish a cached-read rate, so the discount is comparable: Grok 4.6 reads cache at $0.50 per million, Mistral Large at $0.20.

Which one should you pick?

Grok 4.6 wins on none of the ten workloads above, while Mistral Large wins on cached rag.

Beyond price, the two differ on cached-input rate ($0.50 vs $0.20); context window (500,000 vs 128,000); long-context tier (yes, above 200,000 vs none).

Batch mode is available on Grok 4.6 and Mistral Large, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is Grok 4.6 cheaper than Mistral Large?

No — they are priced identically at $3.50 on a blended 1M-input-plus-250K-output workload, with the same per-token rates. Choose on context window, throughput or output quality instead.

Which handles longer prompts, Grok 4.6 or Mistral Large?

Grok 4.6 has the larger context window (500,000 vs 128,000 tokens). Watch the long-context threshold on Grok 4.6: rates rise once input passes it.

Do both models support prompt caching?

Grok 4.6 bills cached reads at $0.50 per 1M; Mistral Large at $0.20.

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