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Claude Opus 4.5 (batch) vs Mistral Medium 3.1

vs
Mistral Medium 3.1

Mistral AI

40#381
Signal-by-Signal Comparison
SignalClaude Opus 4.5 (batch)DeltaMistral Medium 3.1
Capabilities
100
+33
67
Benchmarks
85
+85
0
Pricing
88
-10
98
Context window size
84
+3
81
Recency
70
+19
51
Output Capacity
77
-3
80
Overall Result
4 wins
of 6
2 wins
Claude Opus 4.5 (batch) wins 4 of 6 signals

Score History

Score History (38 data points)
Claude Opus 4.5 (batch)Mistral Medium 3.1
Claude Opus 4.5 (batch)

85.1

current score

Leader

Claude Opus 4.5 (batch)

right now

Mistral Medium 3.1

40

current score

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

Claude Opus 4.5 (batch)

Anthropic

Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

Mistral Medium 3.1

Mistral AI

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

Mistral Medium 3.1 saves you $735.00/month

That's $8820.00/year compared to Claude Opus 4.5 (batch) at your current usage level of 100K calls/month.

84% cheaper
Choose Mistral Medium 3.1 for cost optimization

Claude Opus 4.5 (batch) pricing:
Input:$2.50/M tokens
Output:$12.50/M tokens
Mistral Medium 3.1 pricing:
Input:$0.40/M tokens
Output:$2.00/M tokens
Winner
Claude Opus 4.5 (batch)

Anthropic

85

Composite Score

Mistral Medium 3.1

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.5 (batch)Mistral Medium 3.1Winner
Overall Score
85
40
Claude Opus 4.5 (batch)
Rank#67#381
Claude Opus 4.5 (batch)
Quality Rank#67#381
Claude Opus 4.5 (batch)
Adoption Rank#67#381
Claude Opus 4.5 (batch)
Parameters------
Context Window200K131K
Claude Opus 4.5 (batch)
Pricing$2.50/$12.50/M$0.40/$2.00/M--
Signal Scores
Capabilities
100
67
Claude Opus 4.5 (batch)
Benchmarks
85
--
Claude Opus 4.5 (batch)
Pricing
88
98
Mistral Medium 3.1
Context window size
84
81
Claude Opus 4.5 (batch)
Recency
70
51
Claude Opus 4.5 (batch)
Output Capacity
77
80
Mistral Medium 3.1
Benchmark Head-to-Head(12 benchmarks)
Claude Opus: 1Mistral Medium: 0
Claude Opus
Mistral Medium
Normalized 0-100%
MMLU
91.4%-
MMLU-Pro
78%-
GPQA Diamond
86.2%-
MATH-500
88.1%-
HumanEval
95.2%-
SWE-bench Verified
80.9%-
AIME 2024
72%-
IFEval
91.5%-
BBH
90%-
Arena Elo
1430-
LiveBench
74%-
HLE
32.1%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.

Claude Opus 4.5 (batch)Elite Tier

Scores 85/100 (rank #67), placing it in the top 77% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mistral Medium 3.1Entry Level

Scores 40/100 (rank #381), placing it in the top -31% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Claude Opus 4.5 (batch) has a 45-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Opus 4.5 (batch) when you need:

  • Processing long documents or large codebases (200K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Mistral Medium 3.1 when you need:

  • High-volume production workloads where API costs must be minimized
Cost-Performance Analysis
Claude Opus 4.5 (batch)
Input cost$2.50/M tokens
Output cost$12.50/M tokens
Cost per quality point$0.176
Est. monthly (1M tokens/day)$225.00
Mistral Medium 3.1Best Value
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

Mistral Medium 3.1 offers 84% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Mistral Medium 3.1 vs $225.00/month with Claude Opus 4.5 (batch) - a $189.00 monthly difference.

Latency & Speed
Claude Opus 4.5 (batch)Faster
Speed score0/100
Mistral Medium 3.1
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

Claude Opus 4.5 (batch)

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

Claude Opus 4.5 (batch)

Long document analysis

Larger context window (200K tokens) can process longer documents, contracts, and research papers in a single pass

Claude Opus 4.5 (batch)

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 (85/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.5 (batch)

Image understanding & OCR

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

Claude Opus 4.5 (batch)
Which Should You Choose?
Our recommendation:
Claude Opus 4.5 (batch)

Claude Opus 4.5 (batch) clearly outperforms Mistral Medium 3.1 with a significant 45.099999999999994-point lead. For most general use cases, Claude Opus 4.5 (batch) is the stronger choice. However, Mistral Medium 3.1 may still excel in niche scenarios.

by Anthropic

  • 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

by Mistral AI

  • Choose for Cost - 84% lower pricing; better value at scale
Capability Comparison
CapabilityClaude Opus 4.5 (batch)Mistral Medium 3.1
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4.5 (batch)

Anthropic

$19.50
estimated monthly cost

Mistral Medium 3.1

Mistral AI

Best Value
$3.12
estimated monthly cost

Mistral Medium 3.1 saves you $16.38/month

That's 84% cheaper than Claude Opus 4.5 (batch) 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
ParameterClaude Opus 4.5 (batch)Mistral Medium 3.1
Context Window200K131K
Max Output Tokens64,000104,857
Open SourceNoNo
CreatedNov 24, 2025Aug 13, 2025
Last updated: 49m ago

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