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Mistral Large 2407 vs Phi 4

Mistral Large 2407

Mistral AI

66#125
vs
Phi 4

Microsoft

66#127
Signal-by-Signal Comparison
SignalMistral Large 2407DeltaPhi 4
Capabilities
50
+17
33
Benchmarks
55
-18
73
Pricing
94
-6
100
Context window size
73
+13
60
Recency
23
-9
33
Output Capacity
20
-50
70
Overall Result
2 wins
of 6
4 wins
Phi 4 wins 4 of 6 signals

Score History

Score History (22 data points)
Mistral Large 2407Phi 4
Mistral Large 2407

66.3

current score

Leader

Mistral Large 2407

right now

Phi 4

66.1

current score

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

Mistral Large 2407

Mistral AI

Per request$0.005000
Daily$16.67
Monthly$500.00
Annual$6000.00

Phi 4

Microsoft

Best Value
Per request$0.000140
Daily$0.47
Monthly$14.00
Annual$168.00

Phi 4 saves you $486.00/month

That's $5832.00/year compared to Mistral Large 2407 at your current usage level of 100K calls/month.

97% cheaper
Choose Phi 4 for cost optimization

Mistral Large 2407 pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Phi 4 pricing:
Input:$0.07/M tokens
Output:$0.14/M tokens
Winner
Mistral Large 2407

Mistral AI

66

Composite Score

Phi 4

Microsoft

66

Composite Score

Signal-by-Signal Comparison
MetricMistral Large 2407Phi 4Winner
Overall Score
66
66
Mistral Large 2407
Rank#125#127
Mistral Large 2407
Quality Rank#125#127
Mistral Large 2407
Adoption Rank#125#127
Mistral Large 2407
Parameters------
Context Window131K16K
Mistral Large 2407
Pricing$2.00/$6.00/M$0.07/$0.14/M--
Signal Scores
Capabilities
50
33
Mistral Large 2407
Benchmarks
55
73
Phi 4
Pricing
94
100
Phi 4
Context window size
73
60
Mistral Large 2407
Recency
23
33
Phi 4
Output Capacity
20
70
Phi 4
Benchmark Head-to-Head(10 benchmarks)
Mistral Large: 1Phi 4: 0
Mistral Large
Phi 4
Normalized 0-100%
MMLU
-84.8%
MMLU-Pro
-70.5%
GPQA Diamond
-56.1%
MATH-500
-80.4%
HumanEval
-82.6%
IFEval
-80.1%
BBH
-78%
ARC-Challenge
-95.5%
Arena Elo
13141256
BigCodeBench
-45.5%
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 Large 2407Competitive

Scores 66/100 (rank #125), placing it in the top 57% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Phi 4Competitive

Scores 66/100 (rank #127), placing it in the top 57% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Mistral Large 2407 when you need:

  • Processing long documents or large codebases (131K token context)
  • Agentic applications using tool/function calling

Choose Phi 4 when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Mistral Large 2407
Input cost$2.00/M tokens
Output cost$6.00/M tokens
Cost per quality point$0.121
Est. monthly (1M tokens/day)$120.00
Phi 4Best Value
Input cost$0.07/M tokens
Output cost$0.14/M tokens
Cost per quality point$0.003
Est. monthly (1M tokens/day)$3.15

Phi 4 offers 97% better value per quality point. At 1M tokens/day, you'd spend $3.15/month with Phi 4 vs $120.00/month with Mistral Large 2407 - a $116.85 monthly difference.

Latency & Speed
Mistral Large 2407Faster
Speed score0/100
Phi 4
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 Large 2407

Customer support chatbot

Suitable for user-facing chat with competitive response times. Phi 4 also offers lower per-token costs for high-volume support

Mistral Large 2407

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

Mistral Large 2407

Batch data extraction

Lower output pricing ($0.14/M) reduces costs when processing thousands of records daily

Phi 4

Creative writing & content

Higher overall composite score (66/100) correlates with better nuance, coherence, and style in long-form content

Mistral Large 2407
Which Should You Choose?
Our recommendation:
Mistral Large 2407

Mistral Large 2407 and Phi 4 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

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

by Microsoft

  • Choose for Cost - 97% lower pricing; better value at scale
Capability Comparison
CapabilityMistral Large 2407Phi 4
Vision (Image Input)
Function Callingdiffers
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Large 2407

Mistral AI

$10.80
estimated monthly cost

Phi 4

Microsoft

Best Value
$0.2940
estimated monthly cost

Phi 4 saves you $10.51/month

That's 97% cheaper than Mistral Large 2407 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 Large 2407Phi 4
Context Window131K16K
Max Output Tokens--16,384
Open SourceNoYes
CreatedNov 19, 2024Jan 10, 2025
Last updated: 25m ago

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Mistral Large 2407 vs Phi 4 (2026) | LM Market Cap