text model comparison
Grok 4.7 vs MiMo-V2.6-Flash
Grok 4.7 and MiMo-V2.6-Flash are both current text models, from xAI and Xiaomi MiMo. MiMo-V2.6-Flash is 93% cheaper per 1M input tokens than Grok 4.7, $0.14 vs $2. On Arena Text, Grok 4.7 scores 1442 Elo and MiMo-V2.6-Flash 1448 Elo (Arena, measured November 9, 2026). MiMo-V2.6-Flash has the larger context window, 1,000,000 vs 500,000 tokens.
- Higher Arena Text
- MiMo-V2.6-Flash1448 Elo against 1442 Elo
- Lower price per 1M input tokens
- MiMo-V2.6-Flash$0.14 against $2
- Longer context window
- MiMo-V2.6-Flash1M tokens against 500K tokens
- Newer release
- MiMo-V2.6-FlashSep 22, 2026 against Sep 21, 2026
Data verified November 10, 2026 · Dataset 2026-11-10
Side by side
Grok 4.7 and MiMo-V2.6-Flash, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | Grok 4.7 | MiMo-V2.6-Flash |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $2 | $0.14 (better) |
| Price per 1M output tokens | $6 | $0.28 (better) |
| Independent benchmarks | ||
| Arena Text | 1442 Elo (#37 of 53) | 1448 Elo (#35 of 53) (better) |
| Arena WebDev | 1639 Elo (#18 of 48) (better) | 1637 Elo (#19 of 48) |
| GPQA Diamond | 92.7% (#20 of 43) | Not measured |
| FrontierMath Tiers 1-3 (v2) | 53% (#36 of 43) | Not measured |
| SimpleQA Verified | 56% (#19 of 40) | Not measured |
| Specs | ||
| Provider | xAI | Xiaomi MiMo |
| Release date | September 21, 2026 | September 22, 2026 |
| Access | API only | API and open weights |
| Context window | 500,000 tokens | 1,000,000 tokens |
| Max output | Not reported | 128,000 tokens |
| Input | text | text, image, audio, video |
| Output | text | text |
Charts
Against every current text model
Where Grok 4.7 and MiMo-V2.6-Flash land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena Text, Grok 4.7 ranks #37 and MiMo-V2.6-Flash #35 of 53 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
Grok 4.7:#37of 53
1,442 Elo · ahead of 29%
MiMo-V2.6-Flash:#35of 53
1,448 Elo · ahead of 33%
Arena WebDev
Grok 4.7:#18of 48
1,639 Elo · ahead of 64%
MiMo-V2.6-Flash:#19of 48
1,637 Elo · ahead of 62%
GPQA Diamond
Grok 4.7:#20of 43
92.7% · ahead of 52%
MiMo-V2.6-Flash: Not scored
FrontierMath Tiers 1-3 (v2)
Grok 4.7:#36of 43
53% · ahead of 17%
MiMo-V2.6-Flash: Not scored
SimpleQA Verified
Grok 4.7:#19of 40
56% · ahead of 54%
MiMo-V2.6-Flash: Not scored
Price and context
Price per 1M input tokens
Grok 4.7:#32of 61
$2 · cheaper than 28%
MiMo-V2.6-Flash:#5of 61
$0.14 · cheaper than 93%
Price per 1M output tokens
Grok 4.7:#31of 61
$6 · cheaper than 45%
MiMo-V2.6-Flash:#1of 61
$0.28 · cheaper than 100%
Context window
Grok 4.7:#56of 70
500K tokens · longer than 17%
MiMo-V2.6-Flash:#28of 70
1M tokens · longer than 23%
Quality against price
Grok 4.7 scores 1,442 at $3; MiMo-V2.6-Flash scores 1,448 at $0.175 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Carbon | $4 | 1,526 | |
| Gemini 4 Argon | $4 | 1,522 | |
| Muse Wonder | Meta | $8 | 1,511 |
| Claude Opus 5.5 | Anthropic | $8 | 1,506 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,503 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,496 |
| Claude Opus 5 | Anthropic | $10 | 1,490 |
| Kimi K3 | Moonshot Kimi | $6 | 1,487 |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,484 |
| Gemini 3.6 Flash | $3 | 1,483 | |
| GLM-5.3 | Z.ai | $2.15 | 1,483 |
| Claude Opus 4.8 | Anthropic | $10 | 1,482 |
| GPT-6.1 Sol | OpenAI | $4 | 1,482 |
| GPT-5.5 | OpenAI | $11 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,474 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,474 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,468 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,464 |
| Claude Sonnet 5 | Anthropic | $4 | 1,461 |
| GPT-6 Sol | OpenAI | $4 | 1,457 |
| Grok 4.6 | xAI | $3 | 1,456 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,455 | |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,453 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,448 |
| Step 5 Preview | StepFun | $1.43 | 1,448 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| Grok 4.7 | xAI | $3 | 1,442 |
| GPT-6 Luna | OpenAI | $0.20 | 1,441 |
| Mistral Large 4 | Mistral AI | $1.05 | 1,423 |
| Claude Haiku 5.5 | Anthropic | $0.20 | 1,422 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Inkling 2 Small | Thinking Machines Lab | $0.47 | 1,412 |
| Solar Pro 4 | Upstage | $0.52 | 1,387 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, Grok 4.7 costs 16 times as much as MiMo-V2.6-Flash, at each provider's listed rates.
10M input and 2M output tokens
Grok 4.7 costs 16× as much
- Grok 4.7
- $32
- MiMo-V2.6-Flash
- $1.96
The same, with 9M of the input tokens cached
Grok 4.7 costs 25× as much
- Grok 4.7
- $18.50
- MiMo-V2.6-Flash
- $0.73
| Workload or rate | Grok 4.7 | MiMo-V2.6-Flash |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $32 | $1.96 (better) |
| The same, with 9M of the input tokens cached | $18.50 | $0.73 (better) |
| The same, through the batch API | Not listed | $0.98 |
| Other listed rates | ||
| 1M input tokens, cached | $0.50 | $0.0028 (better) |
| 1M input tokens, batch | Not listed | $0.07 |
| 1M output tokens, batch | Not listed | $0.14 |
| 1M input tokens, prompts over 200K tokens | $4 | Not listed |
| 1M output tokens, prompts over 200K tokens | $12 | Not listed |
Your own bill will differ. These figures use list prices and example workloads. The AI Model Cost Audit reviews your real usage, shortlists models that score as well for each task for less, and estimates the savings.
Launch price $100, regular price $150
Verdict
When to choose each
Grok 4.7
Where it leads
- Higher Arena WebDev score, 1639 Elo vs 1637 Elo
Best for
- Output-heavy generation under the 200,000-token prompt line
- A cheaper alternative to the frontier tiers where 500k of context is enough
Watch out for
- The long-prompt threshold is 200,000 tokens, the lowest of any model here, and reaching it doubles input and output for the entire request
- xAI's model page does not state a maximum output for Grok 4.7, so it is recorded as unknown rather than inferred
- That page does not explicitly list image input for this model either, so it is catalogued as text-only
MiMo-V2.6-Flash
Where it leads
- Lower input and output prices, $0.14 and $0.28 vs $2 and $6 per 1M tokens
- Higher Arena Text score, 1448 Elo vs 1442 Elo
- Larger context window 1,000,000 vs 500,000 tokens
- Accepts image, audio and video input
- Open weights you can run yourself
- Cheaper cached input, $0.0028 vs $0.50 per 1M tokens
- Batch pricing, $0.07 input and $0.14 output per 1M tokens
Best for
- High-frequency multimodal calls
- Low-cost agent workloads
Watch out for
- Xiaomi's own table puts it well behind the Pro model on exploitation tasks (ExploitBench 25.3 against 47.9)
- The API checkpoint (RL or MOPD weights) is not identified
From benchmark to production
Building on Grok 4.7 or MiMo-V2.6-Flash?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
AI Model Cost AuditLaunch price $100, regular price $150What the audit includes
FAQ
Grok 4.7 vs MiMo-V2.6-Flash FAQ
Which is cheaper, Grok 4.7 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash is 93% cheaper per 1M input tokens than Grok 4.7, $0.14 vs $2. For 10M input and 2M output tokens, Grok 4.7 costs $32 and MiMo-V2.6-Flash $1.96 at standard rates.
Which is cheaper with prompt caching, Grok 4.7 or MiMo-V2.6-Flash?
Grok 4.7 charges $0.50 per 1M cached input tokens, 75% below its standard input rate, and MiMo-V2.6-Flash $0.0028, 98% below. With 9M of 10M input tokens cached and 2M output tokens, Grok 4.7 costs $18.50 and MiMo-V2.6-Flash $0.73.
Which scores higher on independent benchmarks, Grok 4.7 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash leads on Arena Text, 1448 Elo to 1442 Elo; Grok 4.7 leads on Arena WebDev, 1639 Elo to 1637 Elo. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Grok 4.7 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash has the larger context window, 1,000,000 vs 500,000 tokens.
How do Grok 4.7 and MiMo-V2.6-Flash differ in features?
Grok 4.7 takes text input; MiMo-V2.6-Flash takes text, image, audio and video.
Can I run Grok 4.7 or MiMo-V2.6-Flash myself?
MiMo-V2.6-Flash is released as open weights you can run yourself; Grok 4.7 is available through its provider's API only.
Further reading
More on Grok 4.7 and MiMo-V2.6-Flash
Articles on Grok 4.7 and MiMo-V2.6-Flash
- Grok 4.7 vs Fable 5.1 vs GPT-6 Astra: Real Cost per TaskSeptember 23, 2026
- Grok 4.7: Same Price as Grok 4.6, but Check Cost per TaskSeptember 22, 2026
Related comparisons
- Gemini 4 Argon vs Grok 4.7
- Inkling 2 Small vs MiMo-V2.6-Flash
- Claude Sonnet 5.5 vs Grok 4.7
- Claude Haiku 5.5 vs MiMo-V2.6-Flash
- Claude Opus 5.5 vs Grok 4.7
- GLM-5.3-Flash vs MiMo-V2.6-Flash
- GPT-6 Luna vs Grok 4.7
- GPT-6 Luna vs MiMo-V2.6-Flash
- Claude Opus 5 vs Grok 4.7
- Grok 4.3 vs MiMo-V2.6-Flash
- Claude Sonnet 5 vs Grok 4.7
- MiMo-V2.6-Flash vs MiMo-V2.6-Pro
Production evaluation
Choosing between Grok 4.7 and MiMo-V2.6-Flash?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty