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Mistral Medium 3.1 vs R1 0528

Mistral Medium 3.1

Mistral AI

40#376
vs
R1 0528

DeepSeek

79#89
Signal-by-Signal Comparison
SignalMistral Medium 3.1DeltaR1 0528
Capabilities
67
--
67
Pricing
98
+0
98
Context window size
81
-2
83
Recency
59
+14
45
Output Capacity
80
+8
72
Benchmarks
0
-81
81
Overall Result
3 wins
of 6
2 wins
Mistral Medium 3.1 wins 3 of 6 signals

Score History

Score History (32 data points)
Mistral Medium 3.1R1 0528
Mistral Medium 3.1

40

current score

Leader

R1 0528

right now

R1 0528

79.4

current score

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

Mistral Medium 3.1

Mistral AI

Best Value
Per request$0.001400
Daily$4.67
Monthly$140.00
Annual$1680.00

R1 0528

DeepSeek

Per request$0.001575
Daily$5.25
Monthly$157.50
Annual$1890.00

Mistral Medium 3.1 saves you $17.50/month

That's $210.00/year compared to R1 0528 at your current usage level of 100K calls/month.

11% cheaper
Choose Mistral Medium 3.1 for cost optimization

Mistral Medium 3.1 pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
R1 0528 pricing:
Input:$0.50/M tokens
Output:$2.15/M tokens
Mistral Medium 3.1

Mistral AI

40

Composite Score

Winner
R1 0528

DeepSeek

79

Composite Score

Signal-by-Signal Comparison
MetricMistral Medium 3.1R1 0528Winner
Overall Score
40
79
R1 0528
Rank#376#89
R1 0528
Quality Rank#376#89
R1 0528
Adoption Rank#376#89
R1 0528
Parameters------
Context Window131K164K
R1 0528
Pricing$0.40/$2.00/M$0.50/$2.15/M--
Signal Scores
Capabilities
67
67
Mistral Medium 3.1
Pricing
98
98
Mistral Medium 3.1
Context window size
81
83
R1 0528
Recency
59
45
Mistral Medium 3.1
Output Capacity
80
72
Mistral Medium 3.1
Benchmarks--
81
R1 0528
Benchmark Head-to-Head(11 benchmarks)
Mistral Medium: 0R1 0528: 0
Mistral Medium
R1 0528
Normalized 0-100%
MMLU
-91.5%
MMLU-Pro
-83.4%
GPQA Diamond
-76%
MATH-500
-97.8%
SWE-bench Verified
-57.6%
AIME 2024
-84%
IFEval
-85.5%
BBH
-86.5%
Arena Elo
-1380
LiveBench
-69.5%
HLE
4.52%-
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 3.1Entry Level

Scores 40/100 (rank #376), placing it in the top -29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
R1 0528Strong Performer

Scores 79/100 (rank #89), placing it in the top 70% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

R1 0528 has a 39-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 3.1 when you need:

  • Multimodal workflows that require image understanding

Choose R1 0528 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mistral Medium 3.1
Input cost$0.40/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.060
Est. monthly (1M tokens/day)$36.00
R1 0528Best Value
Input cost$0.50/M tokens
Output cost$2.15/M tokens
Cost per quality point$0.033
Est. monthly (1M tokens/day)$39.75

R1 0528 offers 9% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Mistral Medium 3.1 vs $39.75/month with R1 0528 - a $3.75 monthly difference.

Latency & Speed
Mistral Medium 3.1Faster
Speed score0/100
R1 0528
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 3.1

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mistral Medium 3.1 also offers lower per-token costs for high-volume support

Mistral Medium 3.1

Long document analysis

Larger context window (164K tokens) can process longer documents, contracts, and research papers in a single pass

R1 0528

Batch data extraction

Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily

Mistral Medium 3.1

Creative writing & content

Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content

R1 0528

Image understanding & OCR

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

Mistral Medium 3.1
Which Should You Choose?
Our recommendation:
R1 0528

R1 0528 clearly outperforms Mistral Medium 3.1 with a significant 39.400000000000006-point lead. For most general use cases, R1 0528 is the stronger choice. However, Mistral Medium 3.1 may still excel in niche scenarios.

by Mistral AI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 9% lower pricing; better value at scale
  • 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
R1 0528
Recommended

by DeepSeek

Consider for specialized use cases.

Capability Comparison
CapabilityMistral Medium 3.1R1 0528
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Medium 3.1

Mistral AI

Best Value
$3.12
estimated monthly cost

R1 0528

DeepSeek

$3.48
estimated monthly cost

Mistral Medium 3.1 saves you $0.3600/month

That's 10% cheaper than R1 0528 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 3.1R1 0528
Context Window131K164K
Max Output Tokens104,85732,768
Open SourceNoYes
CreatedAug 13, 2025May 28, 2025
Last updated: 6m ago

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Mistral Medium 3.1 vs R1 0528 (2026) | LM Market Cap