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Precision Benchmarks

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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Mistral: Mistral Small 3.1 24B vs OpenAI: o1

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Mistral: Mistral Small 3.1 24B vs OpenAI: o1 benchmark

In this head-to-head showdown, Mistral: Mistral Small 3.1 24B is more budget-friendly at $0.555/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Mistral: Mistral Small 3.1 24B and OpenAI: o1 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Mistral: Mistral Small 3.1 24B holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench
OpenAI: o1Top code solve rate
ReasoningGPQA / Live
OpenAI: o1Top logical accuracy
Best Value$/1M Tok
Mistral: Mistral Small 3.1 24BLowest API billing cost
Speed / TokTok/Sec
OpenAI: o1Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Mistral: Mistral Small 3.1 24B (2)OpenAI: o1 (1)
Mistral: Mistral Small 3.1 24B
2 of 3 Wins
✓Input price✓Output price
OpenAI: o1
1 of 3 Wins
✓Context window
Mistral
Leads 2 of 3
Mistral: Mistral Small 3.1 24B

Auto-discovered from OpenRouter (mistralai/mistral-small-3.1-24b-instruct). Preview until a second source matches.

In: $0.351 · Out: $0.555/1M
OpenAI
Leads 1 of 3
OpenAI: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Elo 1,512In: $15 · Out: $60/1M

OpenAI: o1 Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Delay
420 ms
Standard
CoT Tokens
~1,500
Internal reasoning
Cost / 1k
$115.50
4.5× base bill
Accuracy Boost
+4.5%
STEM & Logic
Top Rival Showdowns for Mistral: Mistral Small 3.1 24B
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMistral: Mistral Small 3.1 24B Wins

Mistral: Mistral Small 3.1 24B

$0.5549999999999999 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Mistral: Mistral Small 3.1 24B (2)vsOpenAI: o1 (8)
Mistral: Mistral Small 3.1 24B: 2W (20%)Overall: OpenAI: o1OpenAI: o1: 8W (80%)
← Mistral: Mistral Small 3.1 24BOpenAI: o1 →
🏆OpenAI: o1 Leads(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Mistral: Mistral Small 3.1 24BvsOpenAI: o1
Preference Elo
—vs1,512
Coding Elo
—vs1,485
SWE-bench
—vs48.9%
LiveBench
—vs65.4%
GPQA Diamond
—vs78%
Mistral: Mistral Small 3.1 24B: 0WOpenAI: o1: 5W
🏆OpenAI: o1 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Mistral: Mistral Small 3.1 24BvsOpenAI: o1
Output speed
—vs45 tok/s
Time to first token
—vs420 ms
Mistral: Mistral Small 3.1 24B: 0WOpenAI: o1: 2W
🏆Mistral: Mistral Small 3.1 24B Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Mistral: Mistral Small 3.1 24BvsOpenAI: o1
Output price
$0.555/1Mvs$60/1M+$59.445/1M
Input price
$0.351/1Mvs$15/1M+$14.649/1M
Context window
128kvs200k+72k
Mistral: Mistral Small 3.1 24B: 2WOpenAI: o1: 1W

Side-by-Side Benchmark Matrix

Mistral: Mistral Small 3.1 24BOpenAI: o1
Preference Elo
Mistral: Mistral Small 3.1 24B—
OpenAI: o11,512
Coding Elo
Mistral: Mistral Small 3.1 24B—
OpenAI: o11,485
LiveBench
Mistral: Mistral Small 3.1 24B—
OpenAI: o165.4%
SWE-bench
Mistral: Mistral Small 3.1 24B—
OpenAI: o148.9%
GPQA Diamond
Mistral: Mistral Small 3.1 24B—
OpenAI: o178%
Time to first token
Mistral: Mistral Small 3.1 24B—
OpenAI: o1420 ms
Output speed
Mistral: Mistral Small 3.1 24B—
OpenAI: o145 tok/s
Input priceMistral: Mistral Small 3.1 24B +$14.649/1M
Mistral: Mistral Small 3.1 24B$0.351/1M
OpenAI: o1$15/1M
Output priceMistral: Mistral Small 3.1 24B +$59.445/1M
Mistral: Mistral Small 3.1 24B$0.555/1M
OpenAI: o1$60/1M
Context windowOpenAI: o1 +72k
Mistral: Mistral Small 3.1 24B128k
OpenAI: o1200k
BenchmarkMistral: Mistral Small 3.1 24BOpenAI: o1Advantage Delta
Preference Elo—
1,512
lmarena · Aug 17, 2026
—
Coding Elo—
1,485
lmarena · Aug 17, 2026
—
LiveBench—
65.4%
livebench · Aug 17, 2026
—
SWE-bench—
48.9%
swebench · Aug 17, 2026
—
GPQA Diamond—
78%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
420 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
45 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$0.351/1M
openrouter · Aug 17, 2026
$15/1M
openrouter · Aug 17, 2026
+$14.649/1M
Output price
$0.555/1M
openrouter · Aug 17, 2026
$60/1M
openrouter · Aug 17, 2026
+$59.445/1M
Context window
128k
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
+72k

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save 99% with Mistral: Mistral Small 3.1 24B
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Mistral: Mistral Small 3.1 24B$20.61 / mo
In: $12.29Out: $8.33
OpenAI: o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

Mistral: Mistral Small 3.1 24B is estimated to save $1,404.39/month ($16,853/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Mistral: Mistral Small 3.1 24B:Pick Mistral: Mistral Small 3.1 24B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Mistral Small 3.1 24B

Lower output list price ($0.555/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGOpenAI: o1

Larger window (200k).

Screenshots / visionOpenAI: o1

OpenAI: o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatMistral: Mistral Small 3.1 24BLower output list price ($0.555/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGOpenAI: o1Larger window (200k).
Screenshots / visionOpenAI: o1OpenAI: o1 is the side marked multimodal in the catalog.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Mistral

Mistral: Mistral Small 3.1 24B

Elo n/a
SWE-bench—
Speed (tok/s)128k
Input / 1M Tokens$0.351/1M
Output / 1M Tokens$0.555/1M
OpenAI

OpenAI: o1

Elo 1,512
SWE-bench48.9%
Speed (tok/s)45 tok/s
Input / 1M Tokens$15/1M
Output / 1M Tokens$60/1M

Frequently Asked Questions

Which is better overall, Mistral: Mistral Small 3.1 24B or OpenAI: o1?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Mistral: Mistral Small 3.1 24B or OpenAI: o1?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Mistral: Mistral Small 3.1 24B output tokens are $0.555/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Mistral: Mistral Small 3.1 24B or OpenAI: o1?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: o1 accepts 200k tokens versus 128k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Mistral: Mistral Small 3.1 24B and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Mistral: Mistral Small 3.1 24B matchups →|All OpenAI: o1 matchups →
OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5 vs OpenAI: o1Mistral Large 3 vs OpenAI: o1GPT-5.6 Sol vs OpenAI: o1GPT-5.6 Terra vs OpenAI: o1