xAIMistral AILLM matchup
Grok 4.7vs.Mistral Large 3
Which one is better?
Grok 4.7 performs better than Mistral Large 3, but costs 4 times as much.
103.3
Grok 4.7
Rank 21
38.9
Mistral Large 3
Rank 91
71
Grok 4.7
78
Mistral Large 3
$3
Grok 4.7
$0.75
Mistral Large 3
61
Grok 4.7
Rank 35 of 875
32
Mistral Large 3
Rank 415 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
HealthAgentsLegalCodingMathematicsKnowledgeReasoningFinanceGeneralMultimodal
Choose Mistral Large 3 for
No clear advantage
Where is the difference?
Strengths at a glance
Grok 4.7Mistral Large 3
The median of all ranked models is below 100 in every area, so it sits in the centre of the net.
CodingGrok 4.7 ahead
Grok 4.7103.1Rank 22
Mistral Large 338.4Rank 105
Median of ranked models83.7
95 % range: Grok 4.7 100.2 to 106.1, Mistral Large 3 29.1 to 47.7.
AreaGrok 4.7Mistral Large 3
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 Large 3 in none.
Grok 4.7 ahead: 10
Areas in the overall index
AgentsGrok 4.7 +66107.4 to 41.7
CodingGrok 4.7 +65103.1 to 38.4
MathematicsGrok 4.7 +6294.8 to 33.0
KnowledgeGrok 4.7 +62105.5 to 43.8
ReasoningGrok 4.7 +61102.2 to 41.4
GeneralGrok 4.7 +59101.6 to 42.9
MultimodalGrok 4.7 +5696.1 to 40.0
Specialist fields
HealthGrok 4.7 +67106.1 to 39.4
LegalGrok 4.7 +65109.9 to 44.6
FinanceGrok 4.7 +60105.3 to 45.8
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
Cybersecurityonly Grok 4.7 has a score
Productivityonly Grok 4.7 has a score
Educationonly Grok 4.7 has a score
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.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
TaskBetter choicebased on
Writing and debugging codeGrok 4.7Coding 103.1 to 38.4
Maths and data analysisGrok 4.7Mathematics 94.8 to 33.0, Reasoning 102.2 to 41.4
Facts and researchGrok 4.7Knowledge 105.5 to 43.8
Agents and workflowsGrok 4.7Agents 107.4 to 41.7
Fast chat repliesabout the same71 to 78 tokens per second
Security analysisopenCybersecurity without a score for Mistral Large 3
Many requests on a small budgetMistral Large 3$3 to $0.75 per 1M tokens
Finance, legal and medical textsGrok 4.7Finance 105.3 to 45.8, Legal 109.9 to 44.6, Health 106.1 to 39.4
Images, screenshots and PDFsGrok 4.7Multimodal 96.1 to 40.0
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 Large 3
Oct 1, 2026 · 14 s · $0.0022
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- mistralai/mistral-large-2512
- Reasoning setting
- not specified
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 1,451 tokens
- Cost of the attempt
- $0.0022
- Response time
- 14.2 s
- API model reported in response
- mistralai/mistral-large-2512
- Pinned endpoint
- Mistral | mistralai/mistral-large-2512
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Reasoning (model default)
- no reasoning mode Source
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: not specified
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 Large 3
API request failed. The model was not evaluated.
Grok 4.7 and Mistral Large 3 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.
Claude Opus 5.5max126.1
Gemini 4 Carbonhigh125.7
Claude Fable 5.1max123.8
Claude Sonnet 5.5max122.8
Gemini 4 Argonhigh122.3
GPT-6 Astramax121.3
GPT-6.1 Solmax119.2
Muse Wonder Fullmax118.3
Claude Opus 5max117.2
Muse Wondermax113.4
Kimi K3.1 Promax112.9
Claude Fable 5max112.5
GPT-6 Solmax110.6
GPT-5.6 Solmax108.7
Muse Spark 1.3max107.4
Gemini 3.7 Flashhigh107.1
DeepSeek V4.1 Flash 1017max106.6
Gemini 3.8 Flashhigh106.5
Grok 4.7xhigh103.3
Mistral Large 3none38.9
Claude Opus 5.5, Anthropic: 126.1 · Rank 1 · reasoning effort max
Gemini 4 Carbon, Google DeepMind: 125.7 · Rank 2 · reasoning effort high
Claude Fable 5.1, Anthropic: 123.8 · Rank 3 · reasoning effort max
Claude Sonnet 5.5, Anthropic: 122.8 · Rank 4 · reasoning effort max
Gemini 4 Argon, Google DeepMind: 122.3 · Rank 5 · reasoning effort high
GPT-6 Astra, OpenAI: 121.3 · Rank 6 · reasoning effort max
GPT-6.1 Sol, OpenAI: 119.2 · Rank 7 · reasoning effort max
Muse Wonder Full, Meta: 118.3 · Rank 8 · reasoning effort max
Claude Opus 5, Anthropic: 117.2 · Rank 9 · reasoning effort max
Muse Wonder, Meta: 113.4 · Rank 10 · reasoning effort max
Kimi K3.1 Pro, Moonshot AI: 112.9 · Rank 11 · reasoning effort max
Claude Fable 5, Anthropic: 112.5 · Rank 12 · reasoning effort max
GPT-6 Sol, OpenAI: 110.6 · Rank 13 · reasoning effort max
GPT-5.6 Sol, OpenAI: 108.7 · Rank 14 · reasoning effort max
Muse Spark 1.3, Meta: 107.4 · Rank 15 · reasoning effort max
Gemini 3.7 Flash, Google: 107.1 · Rank 16 · reasoning effort high
DeepSeek V4.1 Flash 1017, DeepSeek: 106.6 · Rank 17 · reasoning effort max
Gemini 3.8 Flash, Google: 106.5 · Rank 18 · reasoning effort high
Grok 4.7, xAI: 103.3 · Rank 21 · reasoning effort xhigh
Mistral Large 3, Mistral AI: 38.9 · Rank 91 · reasoning effort none
Claude Opus 5.5
Gemini 4 Carbon
Claude Fable 5.1
Claude Sonnet 5.5
Gemini 4 Argon
GPT-6 Astra
GPT-6.1 Sol
Muse Wonder Full
Claude Opus 5
Muse Wonder
Kimi K3.1 Pro
Claude Fable 5
GPT-6 Sol
GPT-5.6 Sol
Muse Spark 1.3
Gemini 3.7 Flash
DeepSeek V4.1 Flash 1017
Gemini 3.8 Flash
Grok 4.7
Mistral Large 3
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 Large 3: 61 to 32 out of 100.
Over time
Weekly values from October 18, 2026 to November 5, 2026
Grok 4.7Mistral Large 3
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 Large 3 |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 103.3 | 38.9 |
| Rank | Rank 21 of 91 | Rank 91 of 91 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 200,000 tokens: $4 | $0.50 |
| Outputwhat the model writes | $6above 200,000 tokens: $12 | $1.50 |
| Cost per task (own tests)average of 1 test both passed | $0.007 | $0.002 |
| Speed | ||
| Tokens per second | 71 | 78 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 61Rank 35 of 875 | 32Rank 415 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 | Dec 2, 2025 |
| 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?
Cheaper than Mistral Large 3DeepSeek V4.1 Flash 1017
Overall index 106.6, rank 17. $0.15 input and $0.60 output per 1M tokens.
Grok 4.7 vs. DeepSeek V4.1 Flash 1017Best model in the overall indexClaude Opus 5.5
Overall 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 Large 3
LegalBenchOverall · higher is betterTest setup not documented as identicalGrok 4.7: 84.4%Mistral Large 3: 79.1%Vals AIAs of 10/13/2026
LMArena Code Arena WebDevOverall · higher is betterTest setup not documented as identicalGrok 4.7: 1,637Mistral Large 3: 1,233LMArenaAs of 10/28/2026
LMArena Text, Style ControlOverall · higher is betterTest setup not documented as identicalGrok 4.7: 1,441Mistral Large 3: 1,414LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOverall · higher is betterTest setup not documented as identicalGrok 4.7: 1,250Mistral Large 3: 1,199LMArenaAs of 10/19/2026
LegalBenchConclusion Tasks · higher is betterTest setup not documented as identicalGrok 4.7: 88.6%Mistral Large 3: 81%Vals AIAs of 10/13/2026
LMArena Code Arena WebDevHTML development · higher is betterTest setup not documented as identicalGrok 4.7: 1,629Mistral Large 3: 1,241LMArenaAs of 10/28/2026
LMArena Text, Style ControlBusiness, management and finance · higher is betterTest setup not documented as identicalGrok 4.7: 1,437Mistral Large 3: 1,410LMArenaAs of 10/28/2026
LMArena Vision, Style ControlChinese · higher is betterTest setup not documented as identicalGrok 4.7: 1,267Mistral Large 3: 1,218LMArenaAs of 10/19/2026
LegalBenchInterpretation Tasks · higher is betterTest setup not documented as identicalGrok 4.7: 81.3%Mistral Large 3: 76.6%Vals AIAs of 10/13/2026
LMArena Code Arena WebDevImage to WebDev · higher is betterTest setup not documented as identicalGrok 4.7: 1,586Mistral Large 3: 1,361LMArenaAs of 10/19/2026
Show 36 more benchmarks
LMArena Text, Style ControlChinese · higher is betterTest setup not documented as identicalGrok 4.7: 1,495Mistral Large 3: 1,432LMArenaAs of 10/28/2026
LMArena Vision, Style ControlCreative writing with images · higher is betterTest setup not documented as identicalGrok 4.7: 1,231Mistral Large 3: 1,197LMArenaAs of 10/19/2026
LegalBenchIssue Tasks · higher is betterTest setup not documented as identicalGrok 4.7: 89.5%Mistral Large 3: 81%Vals AIAs of 10/13/2026
LMArena Code Arena WebDevWeb development · higher is betterTest setup not documented as identicalGrok 4.7: 1,637Mistral Large 3: 1,233LMArenaAs of 10/28/2026
LMArena Text, Style ControlCoding · higher is betterTest setup not documented as identicalGrok 4.7: 1,494Mistral Large 3: 1,471LMArenaAs of 10/28/2026
LMArena Vision, Style ControlDiagram understanding · higher is betterTest setup not documented as identicalGrok 4.7: 1,280Mistral Large 3: 1,233LMArenaAs of 10/19/2026
LegalBenchRhetoric Tasks · higher is betterTest setup not documented as identicalGrok 4.7: 81.5%Mistral Large 3: 77.9%Vals AIAs of 10/13/2026
LMArena Text, Style ControlCreative writing · higher is betterTest setup not documented as identicalGrok 4.7: 1,418Mistral Large 3: 1,375LMArenaAs of 10/28/2026
LMArena Vision, Style ControlEnglish · higher is betterTest setup not documented as identicalGrok 4.7: 1,245Mistral Large 3: 1,209LMArenaAs of 10/19/2026
LegalBenchRule Tasks · higher is betterTest setup not documented as identicalGrok 4.7: 81%Mistral Large 3: 79.1%Vals AIAs of 10/13/2026
LMArena Text, Style ControlEnglish · higher is betterTest setup not documented as identicalGrok 4.7: 1,454Mistral Large 3: 1,427LMArenaAs of 10/28/2026
LMArena Vision, Style ControlHomework · higher is betterTest setup not documented as identicalGrok 4.7: 1,324Mistral Large 3: 1,206LMArenaAs of 10/19/2026
LMArena Text, Style ControlEntertainment, sports and media · higher is betterTest setup not documented as identicalGrok 4.7: 1,416Mistral Large 3: 1,373LMArenaAs of 10/28/2026
LMArena Vision, Style ControlOptical character recognition · higher is betterTest setup not documented as identicalGrok 4.7: 1,261Mistral Large 3: 1,214LMArenaAs of 10/19/2026
LMArena Text, Style ControlExcluding ties · higher is betterTest setup not documented as identicalGrok 4.7: 1,439Mistral Large 3: 1,402LMArenaAs of 10/28/2026
LMArena Text, Style ControlExpert prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,480Mistral Large 3: 1,428LMArenaAs of 10/28/2026
LMArena Text, Style ControlFrench prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,479Mistral Large 3: 1,432LMArenaAs of 10/28/2026
LMArena Text, Style ControlGerman prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,431Mistral Large 3: 1,411LMArenaAs of 10/28/2026
LMArena Text, Style ControlHard prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,463Mistral Large 3: 1,433LMArenaAs of 10/28/2026
LMArena Text, Style ControlHard prompts, English · higher is betterTest setup not documented as identicalGrok 4.7: 1,473Mistral Large 3: 1,440LMArenaAs of 10/28/2026
LMArena Text, Style ControlInstruction following · higher is betterTest setup not documented as identicalGrok 4.7: 1,438Mistral Large 3: 1,403LMArenaAs of 10/28/2026
LMArena Text, Style ControlJapanese prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,408Mistral Large 3: 1,379LMArenaAs of 10/28/2026
LMArena Text, Style ControlKorean prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,425Mistral Large 3: 1,358LMArenaAs of 10/28/2026
LMArena Text, Style ControlLegal and government · higher is betterTest setup not documented as identicalGrok 4.7: 1,464Mistral Large 3: 1,422LMArenaAs of 10/28/2026
LMArena Text, Style ControlLife, physical and social science · higher is betterTest setup not documented as identicalGrok 4.7: 1,469Mistral Large 3: 1,429LMArenaAs of 10/28/2026
LMArena Text, Style ControlLonger queries · higher is betterTest setup not documented as identicalGrok 4.7: 1,452Mistral Large 3: 1,418LMArenaAs of 10/28/2026
LMArena Text, Style ControlMath · higher is betterTest setup not documented as identicalGrok 4.7: 1,443Mistral Large 3: 1,401LMArenaAs of 10/28/2026
LMArena Text, Style ControlMathematical professions · higher is betterTest setup not documented as identicalGrok 4.7: 1,467Mistral Large 3: 1,414LMArenaAs of 10/28/2026
LMArena Text, Style ControlMedicine and healthcare · higher is betterTest setup not documented as identicalGrok 4.7: 1,459Mistral Large 3: 1,431LMArenaAs of 10/28/2026
LMArena Text, Style ControlMulti-turn · higher is betterTest setup not documented as identicalGrok 4.7: 1,432Mistral Large 3: 1,420LMArenaAs of 10/28/2026
LMArena Text, Style ControlNon-English · higher is betterTest setup not documented as identicalGrok 4.7: 1,428Mistral Large 3: 1,398LMArenaAs of 10/28/2026
LMArena Text, Style ControlPolish prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,478Mistral Large 3: 1,415LMArenaAs of 10/28/2026
LMArena Text, Style ControlRussian prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,435Mistral Large 3: 1,407LMArenaAs of 10/28/2026
LMArena Text, Style ControlSoftware and IT services · higher is betterTest setup not documented as identicalGrok 4.7: 1,478Mistral Large 3: 1,456LMArenaAs of 10/28/2026
LMArena Text, Style ControlSpanish prompts · higher is betterTest setup not documented as identicalGrok 4.7: 1,445Mistral Large 3: 1,408LMArenaAs of 10/28/2026
LMArena Text, Style ControlWriting, literature and language · higher is betterTest setup not documented as identicalGrok 4.7: 1,427Mistral Large 3: 1,390LMArenaAs of 10/28/2026
More comparisons
Compare Grok 4.7 and Mistral Large 3 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 Opus 5.5 vs. Mistral Large 3
- 9Claude Haiku 5.5 vs. Grok 4.7
Show all 31 comparisons
- 10Claude Opus 5.5 vs. Grok 4.7
- 11Grok 4.7 vs. DeepSeek-V4-Pro
- 12Grok 4.7 vs. Grok 4.5
- 13GLM-5.3 vs. Mistral Large 3
- 14Claude Fable 5.1 vs. Grok 4.7
- 15Claude Opus 4.8 vs. Grok 4.7
- 16GPT-5.6 Terra vs. Grok 4.7
- 17Grok 4.7 vs. GLM-5.3
- 18Claude Sonnet 4.6 vs. Grok 4.7
- 19Grok 4.7 vs. DeepSeek-V4-Flash
- 20GPT-6 Sol vs. Grok 4.7
- 21Claude Opus 5 vs. Grok 4.7
- 22Grok 4.7 vs. Qwen 3.8 Max 0902
- 23GPT-5.6 Luna vs. Grok 4.7
- 24Grok 4.7 vs. GLM-5.2
- 25Muse Wonder Full vs. Grok 4.7
- 26Claude Sonnet 4.5 vs. Grok 4.7
- 27Claude Haiku 5.5 vs. Mistral Large 3
- 28Mistral Large 4 vs. Mistral Large 3
- 29GPT-6.1 Sol vs. Grok 4.7
- 30Claude Opus 4.7 vs. Grok 4.7
- 31DeepSeek-V4.1-Flash vs. Mistral Large 3