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GPT-5.4 (batch) vs Mistral Small 4 (batch)

GPT-5.4 (batch)

OpenAI

92#21
vs
Mistral Small 4 (batch)

Mistral AI

40#338
Signal-by-Signal Comparison
SignalGPT-5.4 (batch)DeltaMistral Small 4 (batch)
Capabilities
100
+17
83
Benchmarks
90
+90
0
Pricing
93
-7
100
Context window size
96
+10
86
Recency
96
-2
98
Output Capacity
82
-3
85
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (8 data points)
GPT-5.4 (batch)Mistral Small 4 (batch)
GPT-5.4 (batch)

91.9

current score

Leader

GPT-5.4 (batch)

right now

Mistral Small 4 (batch)

40

current score

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

GPT-5.4 (batch)

OpenAI

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

Mistral Small 4 (batch)

Mistral AI

Best Value
Per request$0.000225
Daily$0.75
Monthly$22.50
Annual$270.00

Mistral Small 4 (batch) saves you $477.50/month

That's $5730.00/year compared to GPT-5.4 (batch) at your current usage level of 100K calls/month.

96% cheaper
Choose Mistral Small 4 (batch) for cost optimization

GPT-5.4 (batch) pricing:
Input:$1.25/M tokens
Output:$7.50/M tokens
Mistral Small 4 (batch) pricing:
Input:$0.07/M tokens
Output:$0.30/M tokens
Winner
GPT-5.4 (batch)

OpenAI

92

Composite Score

Mistral Small 4 (batch)

Mistral AI

40

Composite Score

Signal-by-Signal Comparison
MetricGPT-5.4 (batch)Mistral Small 4 (batch)Winner
Overall Score
92
40
GPT-5.4 (batch)
Rank#21#338
GPT-5.4 (batch)
Quality Rank#21#338
GPT-5.4 (batch)
Adoption Rank#21#338
GPT-5.4 (batch)
Parameters------
Context Window1050K262K
GPT-5.4 (batch)
Pricing$1.25/$7.50/M$0.07/$0.30/M--
Signal Scores
Capabilities
100
83
GPT-5.4 (batch)
Benchmarks
90
--
GPT-5.4 (batch)
Pricing
93
100
Mistral Small 4 (batch)
Context window size
96
86
GPT-5.4 (batch)
Recency
96
98
Mistral Small 4 (batch)
Output Capacity
82
85
Mistral Small 4 (batch)
Benchmark Head-to-Head(11 benchmarks)
GPT-5.4 (batch): 0Mistral Small: 0
GPT-5.4 (batch)
Mistral Small
Normalized 0-100%
MMLU
94%-
MMLU-Pro
87%-
GPQA Diamond
88.5%-
MATH-500
95.5%-
HumanEval
97.5%-
SWE-bench Verified
80%-
IFEval
93.5%-
BBH
92%-
Arena Elo
1485-
LiveBench
79%-
HLE
39%-
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.

GPT-5.4 (batch)Elite Tier

Scores 92/100 (rank #21), placing it in the top 93% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Mistral Small 4 (batch)Entry Level

Scores 40/100 (rank #338), placing it in the top -16% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

GPT-5.4 (batch) has a 52-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose GPT-5.4 (batch) when you need:

  • Processing long documents or large codebases (1050K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Mistral Small 4 (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-5.4 (batch)
Input cost$1.25/M tokens
Output cost$7.50/M tokens
Cost per quality point$0.095
Est. monthly (1M tokens/day)$131.25
Mistral Small 4 (batch)Best Value
Input cost$0.07/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.009
Est. monthly (1M tokens/day)$5.63

Mistral Small 4 (batch) offers 96% better value per quality point. At 1M tokens/day, you'd spend $5.63/month with Mistral Small 4 (batch) vs $131.25/month with GPT-5.4 (batch) - a $125.63 monthly difference.

Latency & Speed
GPT-5.4 (batch)Faster
Speed score0/100
Mistral Small 4 (batch)
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

GPT-5.4 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Mistral Small 4 (batch) also offers lower per-token costs for high-volume support

GPT-5.4 (batch)

Long document analysis

Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass

GPT-5.4 (batch)

Batch data extraction

Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily

Mistral Small 4 (batch)

Creative writing & content

Higher overall composite score (92/100) correlates with better nuance, coherence, and style in long-form content

GPT-5.4 (batch)

Image understanding & OCR

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

GPT-5.4 (batch)
Which Should You Choose?
Our recommendation:
GPT-5.4 (batch)

GPT-5.4 (batch) clearly outperforms Mistral Small 4 (batch) with a significant 51.900000000000006-point lead. For most general use cases, GPT-5.4 (batch) is the stronger choice. However, Mistral Small 4 (batch) may still excel in niche scenarios.

GPT-5.4 (batch)
Recommended

by OpenAI

  • 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 - 96% lower pricing; better value at scale
Capability Comparison
CapabilityGPT-5.4 (batch)Mistral Small 4 (batch)
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)

GPT-5.4 (batch)

OpenAI

$11.25
estimated monthly cost

Mistral Small 4 (batch)

Mistral AI

Best Value
$0.4950
estimated monthly cost

Mistral Small 4 (batch) saves you $10.76/month

That's 96% cheaper than GPT-5.4 (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
ParameterGPT-5.4 (batch)Mistral Small 4 (batch)
Context Window1.1M262K
Max Output Tokens128,000209,715
Open SourceNoYes
CreatedMar 5, 2026Mar 16, 2026
Last updated: 51m ago

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GPT-5.4 (batch) vs Mistral Small 4 (batch) (2026) | LM Market Cap