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Mistral Medium 3.5 vs Grok 4.7

Mistral Medium 3.5

Mistral AI

72#154
vs
Grok 4.7

xAI

89#42
Signal-by-Signal Comparison
SignalMistral Medium 3.5DeltaGrok 4.7
Capabilities
83
-17
100
Benchmarks
70
-16
86
Pricing
93
-3
95
Context window size
86
-4
90
Recency
100
--
100
Output Capacity
85
-5
90
Overall Result
0 wins
of 6
5 wins
Grok 4.7 wins 5 of 6 signals

Score History

Score History (21 data points)
Mistral Medium 3.5Grok 4.7
Mistral Medium 3.5

71.6

current score

Leader

Grok 4.7

right now

Grok 4.7

88.8

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Mistral Medium 3.5

Mistral AI

Per request$0.005250
Daily$17.50
Monthly$525.00
Annual$6300.00

Grok 4.7

xAI

Best Value
Per request$0.004000
Daily$13.33
Monthly$400.00
Annual$4800.00

Grok 4.7 saves you $125.00/month

That's $1500.00/year compared to Mistral Medium 3.5 at your current usage level of 100K calls/month.

24% cheaper
Choose Grok 4.7 for cost optimization

Mistral Medium 3.5 pricing:
Input:$1.50/M tokens
Output:$7.50/M tokens
Grok 4.7 pricing:
Input:$1.60/M tokens
Output:$4.80/M tokens
Mistral Medium 3.5

Mistral AI

72

Composite Score

Winner
Grok 4.7

xAI

89

Composite Score

Signal-by-Signal Comparison
MetricMistral Medium 3.5Grok 4.7Winner
Overall Score
72
89
Grok 4.7
Rank#154#42
Grok 4.7
Quality Rank#154#42
Grok 4.7
Adoption Rank#154#42
Grok 4.7
Parameters------
Context Window262K500K
Grok 4.7
Pricing$1.50/$7.50/M$1.60/$4.80/M--
Signal Scores
Capabilities
83
100
Grok 4.7
Benchmarks
70
86
Grok 4.7
Pricing
93
95
Grok 4.7
Context window size
86
90
Grok 4.7
Recency
100
100
Mistral Medium 3.5
Output Capacity
85
90
Grok 4.7
Benchmark Head-to-Head(11 benchmarks)
Mistral Medium: 0Grok 4.7: 1
Mistral Medium
Grok 4.7
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
-83.5%
GPQA Diamond
-82%
MATH-500
-95%
HumanEval
-95.5%
SWE-bench Verified
-70%
AIME 2024
-88%
IFEval
-91%
BBH
-90%
Arena Elo
14261462
LiveBench
-73%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Mistral Medium 3.5Strong Performer

Scores 72/100 (rank #154), placing it in the top 47% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Grok 4.7Elite Tier

Scores 89/100 (rank #42), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Grok 4.7 has a 17-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Mistral Medium 3.5 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Grok 4.7 when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (500K token context)
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Mistral Medium 3.5
Input cost$1.50/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.126
Est. monthly (1M tokens/day)$135.00
Grok 4.7Best Value
Input cost$1.60/M tokens
Output cost$4.80/M tokens
Cost per quality point$0.072
Est. monthly (1M tokens/day)$96.00

Grok 4.7 offers 29% better value per quality point. At 1M tokens/day, you'd spend $96.00/month with Grok 4.7 vs $135.00/month with Mistral Medium 3.5 - a $39.00 monthly difference.

Latency & Speed
Mistral Medium 3.5Faster
Speed score0/100
Grok 4.7
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Mistral Medium 3.5

Customer support chatbot

Suitable for user-facing chat with competitive response times. Grok 4.7 also offers lower per-token costs for high-volume support

Mistral Medium 3.5

Long document analysis

Larger context window (500K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.7

Batch data extraction

Lower output pricing ($4.80/M) reduces costs when processing thousands of records daily

Grok 4.7

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.7

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Mistral Medium 3.5
Which Should You Choose?
Our recommendation:
Grok 4.7

Grok 4.7 clearly outperforms Mistral Medium 3.5 with a significant 17.200000000000003-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, Mistral Medium 3.5 may still excel in niche scenarios.

by Mistral AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
Grok 4.7
Recommended

by xAI

  • Choose for Cost - 29% lower pricing; better value at scale
Capability Comparison
CapabilityMistral Medium 3.5Grok 4.7
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Medium 3.5

Mistral AI

$11.70
estimated monthly cost

Grok 4.7

xAI

Best Value
$8.64
estimated monthly cost

Grok 4.7 saves you $3.06/month

That's 26% cheaper than Mistral Medium 3.5 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterMistral Medium 3.5Grok 4.7
Context Window262K500K
Max Output Tokens209,715450,000
Open SourceNoNo
CreatedApr 30, 2026Sep 21, 2026
Last updated: 15m ago

相关对比

Mistral Medium 3.5 vs Grok 4.7 (2026) | LM Market Cap