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- Grok 4.7 vs. Mistral Medium 3.5
xAIMistral AILLM matchup
Grok 4.7vs.Mistral Medium 3.5
Which one is better?
Grok 4.7 performs better than Mistral Medium 3.5. Mistral Medium 3.5 is cheaper for input, Grok 4.7 for output.
Grok 4.7
Rank 21
Mistral Medium 3.5
Rank 87
Grok 4.7
Mistral Medium 3.5
Grok 4.7
Mistral Medium 3.5
Grok 4.7
Rank 35 of 875
Mistral Medium 3.5
Rank 312 of 875
Above 200,000 tokens of context, Grok 4.7 costs more: $4 input and $12 output per 1M tokens.
Choose Grok 4.7 for
Choose Mistral Medium 3.5 for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
Grok 4.7Mistral Medium 3.5
The median of all ranked models is below 100 in every area, so it sits in the centre of the net.
95 % range: Grok 4.7 100.2 to 106.1, Mistral Medium 3.5 44.4 to 57.9.
The same values and verdicts as the bars below. In the top field the net starts at 100 points, the reference group average; values below sit as a hollow point in the centre.
Grok 4.7 is ahead in 10 of 10 areas, Mistral Medium 3.5 in none.
Grok 4.7 ahead: 10
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Show 3 more areas that do not count toward the overall index
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Grok 4.7 vs. Mistral Medium 3.5 at the same effort
Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.
| Effort | Grok 4.7 | Mistral Medium 3.5 | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| high | 103.6 | 46.8 | 63.1 | Grok 4.7 ahead | 11 |
| Overall index (xhigh vs. high) | 103.3 | 46.8 | 56.6 | Grok 4.7 ahead |
Gap and verdict compare only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors. The single values rest on all test series of each model, so their difference can deviate from the gap.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
See for yourself: same task, one attempt
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
Grok 4.7

Oct 1, 2026 · 13 s · $0.0072
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- x-ai/grok-4.7
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 1,069 tokens
- Cost of the attempt
- $0.0072
- Response time
- 13.4 s
- API model reported in response
- x-ai/grok-4.7
- Pinned endpoint
- xAI | x-ai/grok-4.7-20260916
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Oct 1, 2026API request failedReasoning setting: high
Mistral Medium 3.5

Oct 1, 2026 · 39 s · $0.06
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- mistralai/mistral-medium-3-5
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,128 tokens
- Cost of the attempt
- $0.0610
- Response time
- 38.7 s
- API model reported in response
- mistralai/mistral-medium-3-5
- Pinned endpoint
- Mistral | mistralai/mistral-medium-3.5-20260430
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: high
SVG short test
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Prompt
Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.
Grok 4.7
Unavailable in this round
Mistral Medium 3.5

Oct 14, 2026 · $0.0039
Test details
- Test run
- Oct 14, 2026
- Provider
- mistral
- API model
- mistralai/mistral-medium-3-5
- Output
- 502 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0039
- Test round
- 43b8c5c46830
Grok 4.7 and Mistral Medium 3.5 in the overall index
Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.
Overall index (Gradually Meta-Score v4)
20 of 91 models
6 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
Grok 4.7 is more popular than Mistral Medium 3.5: 61 to 37 out of 100.
Over time
Weekly values from October 18, 2026 to November 5, 2026
Grok 4.7Mistral Medium 3.5
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Grok 4.7 | Mistral Medium 3.5 |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 103.3 | 46.8 |
| Rank | Rank 21 of 91 | Rank 87 of 91 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 200,000 tokens: $4 | $1.50 |
| Outputwhat the model writes | $6above 200,000 tokens: $12 | $7.50 |
| Cost per task (own tests)average of 1 test both passed | $0.007 | $0.061 |
| Speed | ||
| Tokens per second | 71 | 144 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 61Rank 35 of 875 | 37Rank 312 of 875 |
| Technical | ||
| Context windowhow much text the model reads at once | 500,000 tokens≈ 750 A4 pages | 262,144 tokens≈ 390 A4 pages |
| Knowledge cutoff | May 2026 | n/a |
| Released | Sep 21, 2026 | Apr 28, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 107.4, rank 15. $1.25 input and $4.25 output per 1M tokens.
Grok 4.7 vs. Muse Spark 1.3Overall index 126.1, rank 1. $4 input and $20 output per 1M tokens.
Grok 4.7 vs. Claude Opus 5.5Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Grok 4.7B: Mistral Medium 3.5
Show 54 more benchmarks
More comparisons
Compare Grok 4.7 and Mistral Medium 3.5 with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Gemini 3.8 Flash vs. Grok 4.7
- 2Grok 4.7 vs. GLM-5.3-Flash
- 3Grok 4.7 vs. DeepSeek-V4.1-Flash
- 4Grok 4.7 vs. Kimi K3
- 5Claude Sonnet 5.5 vs. Grok 4.7
- 6GPT-6 Luna vs. Grok 4.7
- 7Gemini 4 Argon vs. Grok 4.7
- 8Claude Haiku 5.5 vs. Grok 4.7
- 9Claude Opus 5.5 vs. Grok 4.7
Show all 33 comparisons
- 10Grok 4.7 vs. DeepSeek-V4-Pro
- 11Grok 4.7 vs. Grok 4.5
- 12Claude Fable 5.1 vs. Grok 4.7
- 13Claude Opus 4.8 vs. Grok 4.7
- 14Claude Opus 5.5 vs. Mistral Medium 3.5
- 15GPT-5.6 Terra vs. Grok 4.7
- 16Grok 4.7 vs. GLM-5.3
- 17Claude Sonnet 4.6 vs. Grok 4.7
- 18Grok 4.7 vs. DeepSeek-V4-Flash
- 19GPT-6 Sol vs. Grok 4.7
- 20Claude Opus 5 vs. Grok 4.7
- 21Grok 4.7 vs. Qwen 3.8 Max 0902
- 22GPT-5.6 Luna vs. Grok 4.7
- 23Claude Sonnet 4.5 vs. Mistral Medium 3.5
- 24Grok 4.7 vs. GLM-5.2
- 25Muse Wonder Full vs. Grok 4.7
- 26Claude Sonnet 4.5 vs. Grok 4.7
- 27Claude Sonnet 5.5 vs. Mistral Medium 3.5
- 28GLM-5.2 vs. Mistral Medium 3.5
- 29DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 30GPT-6 Luna vs. Mistral Medium 3.5
- 31GPT-6.1 Sol vs. Grok 4.7
- 32Mistral Large 4 vs. Mistral Medium 3.5
- 33Claude Opus 4.7 vs. Grok 4.7