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Mistral Large vs Step 3.5 Flash

Mistral Large

Mistral AI

66#126
vs
Step 3.5 Flash

StepFun

66#128
Signal-by-Signal Comparison
SignalMistral LargeDeltaStep 3.5 Flash
Capabilities
50
--
50
Benchmarks
69
+3
66
Pricing
94
-6
100
Context window size
73
-4
77
Recency
0
-100
100
Output Capacity
20
-60
80
Overall Result
1 wins
of 6
4 wins
Step 3.5 Flash wins 4 of 6 signals

Score History

Score History (22 data points)
Mistral LargeStep 3.5 Flash
Mistral Large

66.3

current score

Leader

Mistral Large

right now

Step 3.5 Flash

65.8

current score

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

Mistral Large

Mistral AI

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

Step 3.5 Flash

StepFun

Best Value
Per request$0.000250
Daily$0.83
Monthly$25.00
Annual$300.00

Step 3.5 Flash saves you $475.00/month

That's $5700.00/year compared to Mistral Large at your current usage level of 100K calls/month.

95% cheaper
Choose Step 3.5 Flash for cost optimization

Mistral Large pricing:
Input:$2.00/M tokens
Output:$6.00/M tokens
Step 3.5 Flash pricing:
Input:$0.10/M tokens
Output:$0.30/M tokens
Winner
Mistral Large

Mistral AI

66

Composite Score

Step 3.5 Flash

StepFun

66

Composite Score

Signal-by-Signal Comparison
MetricMistral LargeStep 3.5 FlashWinner
Overall Score
66
66
Mistral Large
Rank#126#128
Mistral Large
Quality Rank#126#128
Mistral Large
Adoption Rank#126#128
Mistral Large
Parameters------
Context Window128K262K
Step 3.5 Flash
Pricing$2.00/$6.00/M$0.10/$0.30/M--
Signal Scores
Capabilities
50
50
Mistral Large
Benchmarks
69
66
Mistral Large
Pricing
94
100
Step 3.5 Flash
Context window size
73
77
Step 3.5 Flash
Recency
0
100
Step 3.5 Flash
Output Capacity
20
80
Step 3.5 Flash
Benchmark Head-to-Head(9 benchmarks)
Mistral Large: 0Step 3.5: 1
Mistral Large
Step 3.5
Normalized 0-100%
MMLU
84.7%-
MMLU-Pro
69.4%-
GPQA Diamond
52.5%-
MATH-500
76%-
HumanEval
92%-
IFEval
86.5%-
BBH
80%-
Arena Elo
12801395
BigCodeBench
30%-
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 LargeCompetitive

Scores 66/100 (rank #126), placing it in the top 57% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Step 3.5 FlashCompetitive

Scores 66/100 (rank #128), placing it in the top 56% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 1-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 when you need:

  • Budget-friendly applications with moderate quality requirements

Choose Step 3.5 Flash when you need:

  • High-volume production workloads where API costs must be minimized
  • Processing long documents or large codebases (262K token context)
  • 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 Large
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
Step 3.5 FlashBest Value
Input cost$0.10/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$6.00

Step 3.5 Flash offers 95% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Step 3.5 Flash vs $120.00/month with Mistral Large - a $114.00 monthly difference.

Latency & Speed
Mistral LargeFaster
Speed score0/100
Step 3.5 Flash
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

Customer support chatbot

Suitable for user-facing chat with competitive response times. Step 3.5 Flash also offers lower per-token costs for high-volume support

Mistral Large

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Step 3.5 Flash

Batch data extraction

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

Step 3.5 Flash

Creative writing & content

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

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

Mistral Large and Step 3.5 Flash are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Mistral Large
Recommended

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 StepFun

  • Choose for Cost - 95% lower pricing; better value at scale
Capability Comparison
CapabilityMistral LargeStep 3.5 Flash
Vision (Image Input)
Function Calling
Streaming
JSON Modediffers
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Mistral Large

Mistral AI

$10.80
estimated monthly cost

Step 3.5 Flash

StepFun

Best Value
$0.5400
estimated monthly cost

Step 3.5 Flash saves you $10.26/month

That's 95% cheaper than Mistral Large 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 LargeStep 3.5 Flash
Context Window128K262K
Max Output Tokens--65,536
Open SourceNoYes
CreatedFeb 26, 2024Jan 29, 2026
Last updated: 48m ago

相关对比

Mistral Large vs Step 3.5 Flash (2026) | LM Market Cap