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

Llama 3.1 70B vs Mistral: Mistral Medium 3.5 benchmark

Name: Llama 3.1 70B vs Mistral: Mistral Medium 3.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Llama 3.1 70B is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Llama 3.1 70B holds empirical advantage (2 of 3 metrics)

Coding / SWESWE-bench

Llama 3.1 70BTop code solve rate

ReasoningGPQA / Live

Llama 3.1 70BTop logical accuracy

Best Value$/1M Tok

Llama 3.1 70BLowest API billing cost

Speed / TokTok/Sec

Llama 3.1 70BFastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Llama 3.1 70B (2)Mistral: Mistral Medium 3.5 (1)

Llama 3.1 70B

2 of 3 Wins

✓Input price✓Output price

Mistral: Mistral Medium 3.5

1 of 3 Wins

✓Context window

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderLlama 3.1 70B Wins

Llama 3.1 70B

$0.39999999999999997 / 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.

Llama 3.1 70B (8)vsMistral: Mistral Medium 3.5 (1)

Llama 3.1 70B: 8W (89%)Mistral: Mistral Medium 3.5: 1W (11%)

← Llama 3.1 70BMistral: Mistral Medium 3.5 →

🏆Llama 3.1 70B Leads(4/5)

Intelligence & Reasoning

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

Benchmark

Llama 3.1 70BvsMistral: Mistral Medium 3.5

Preference Elo

1,240vs—

Coding Elo

—vs—

SWE-bench

40.2%vs—

LiveBench

46.8%vs—

GPQA Diamond

48%vs—

Llama 3.1 70B: 4WMistral: Mistral Medium 3.5: 0W

🏆Llama 3.1 70B Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Llama 3.1 70BvsMistral: Mistral Medium 3.5

Output speed

125 tok/svs—

Time to first token

170 msvs—

Llama 3.1 70B: 2WMistral: Mistral Medium 3.5: 0W

🏆Llama 3.1 70B Leads(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Llama 3.1 70BvsMistral: Mistral Medium 3.5

Output price

$0.4/1Mvs$7.5/1M+$7.1/1M

Input price

$0.4/1Mvs$1.5/1M+$1.1/1M

Context window

131kvs262k+131k

Llama 3.1 70B: 2WMistral: Mistral Medium 3.5: 1W

Side-by-Side Benchmark Matrix

Llama 3.1 70BMistral: Mistral Medium 3.5

Preference Elo

Llama 3.1 70B1,240

Mistral: Mistral Medium 3.5—

LiveBench

Llama 3.1 70B46.8%

Mistral: Mistral Medium 3.5—

SWE-bench

Llama 3.1 70B40.2%

Mistral: Mistral Medium 3.5—

GPQA Diamond

Llama 3.1 70B48%

Mistral: Mistral Medium 3.5—

Time to first token

Llama 3.1 70B170 ms

Mistral: Mistral Medium 3.5—

Output speed

Llama 3.1 70B125 tok/s

Mistral: Mistral Medium 3.5—

Input priceLlama 3.1 70B +$1.1/1M

Llama 3.1 70B$0.4/1M

Mistral: Mistral Medium 3.5$1.5/1M

Output priceLlama 3.1 70B +$7.1/1M

Llama 3.1 70B$0.4/1M

Mistral: Mistral Medium 3.5$7.5/1M

Context windowMistral: Mistral Medium 3.5 +131k

Llama 3.1 70B131k

Mistral: Mistral Medium 3.5262k

Benchmark	Llama 3.1 70B	Mistral: Mistral Medium 3.5	Advantage Delta
Preference Elo	1,240 lmarena · Aug 17, 2026	—	—
LiveBench	46.8% livebench · Aug 17, 2026	—	—
SWE-bench	40.2% swebench · Aug 17, 2026	—	—
GPQA Diamond	48% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	170 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	125 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$0.4/1M openrouter · Aug 17, 2026	$1.5/1M openrouter · Aug 17, 2026	+$1.1/1M
Output price	$0.4/1M openrouter · Aug 17, 2026	$7.5/1M openrouter · Aug 17, 2026	+$7.1/1M
Context window	131k openrouter · Aug 17, 2026	262k openrouter · Aug 17, 2026	+131k

Workload Cost & Savings Calculator

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

Save 88% with Llama 3.1 70B

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Llama 3.1 70B$20.00 / mo

In: $14Out: $6

Mistral: Mistral Medium 3.5$165.00 / mo

In: $52.5Out: $112.5

Estimated Cost Delta

Llama 3.1 70B is estimated to save $145.00/month ($1,740/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Llama 3.1 70B:Pick Llama 3.1 70B when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMistral: Mistral Medium 3.5

Larger window (262k).

Screenshots / visionMistral: Mistral Medium 3.5

Mistral: Mistral Medium 3.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Mistral: Mistral Medium 3.5	Larger window (262k).
Screenshots / vision	Mistral: Mistral Medium 3.5	Mistral: Mistral Medium 3.5 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

Llama 3.1 70B

Elo 1,240

SWE-bench40.2%

Speed (tok/s)125 tok/s

Input / 1M Tokens$0.4/1M

Output / 1M Tokens$0.4/1M

Mistral

Mistral: Mistral Medium 3.5

Elo n/a

SWE-bench—

Speed (tok/s)262k

Input / 1M Tokens$1.5/1M

Output / 1M Tokens$7.5/1M

Frequently Asked Questions

Which is better overall, Llama 3.1 70B or Mistral: Mistral Medium 3.5?: 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, Llama 3.1 70B or Mistral: Mistral Medium 3.5?: 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?: Llama 3.1 70B output tokens are $0.4/1M versus $7.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 3.1 70B or Mistral: Mistral Medium 3.5?: We do not have TTFT for both models.
Which has the larger context window?: Mistral: Mistral Medium 3.5 accepts 262k tokens versus 131k.
Can I self-host either model?: Llama 3.1 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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. Llama 3.1 70B and Mistral: Mistral Medium 3.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 3.1 70B matchups →|All Mistral: Mistral Medium 3.5 matchups →

Llama 3.1 70B vs Llama 3.1 405B (previous llama)Llama 3.1 70B vs Llama 3.3 70B (next llama)Llama 4 Maverick vs Llama 3.1 70B Mistral Large 3 vs Llama 3.1 70B Codestral 25.01 vs Llama 3.1 70B Llama 4 Scout vs Llama 3.1 70B

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

Side-by-Side Benchmark Matrix

Llama 3.1 70BMistral: Mistral Medium 3.5

Preference Elo

Llama 3.1 70B1,240

Mistral: Mistral Medium 3.5—

LiveBench

Llama 3.1 70B46.8%

Mistral: Mistral Medium 3.5—

SWE-bench

Llama 3.1 70B40.2%

Mistral: Mistral Medium 3.5—

GPQA Diamond

Llama 3.1 70B48%

Mistral: Mistral Medium 3.5—

Time to first token

Llama 3.1 70B170 ms

Mistral: Mistral Medium 3.5—

Output speed

Llama 3.1 70B125 tok/s

Mistral: Mistral Medium 3.5—

Input priceLlama 3.1 70B +$1.1/1M

Llama 3.1 70B$0.4/1M

Mistral: Mistral Medium 3.5$1.5/1M

Output priceLlama 3.1 70B +$7.1/1M

Llama 3.1 70B$0.4/1M

Mistral: Mistral Medium 3.5$7.5/1M

Context windowMistral: Mistral Medium 3.5 +131k

Llama 3.1 70B131k

Mistral: Mistral Medium 3.5262k

Benchmark

Llama 3.1 70B

Mistral: Mistral Medium 3.5

Advantage Delta

Preference Elo

1,240

lmarena · Aug 17, 2026

—

LiveBench

46.8%

livebench · Aug 17, 2026

—

SWE-bench

40.2%

swebench · Aug 17, 2026

—

GPQA Diamond

48%

seed-bootstrap · Aug 1, 2026

—

Time to first token

170 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

125 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.4/1M

openrouter · Aug 17, 2026

$1.5/1M

openrouter · Aug 17, 2026

+$1.1/1M

Output price

$0.4/1M

openrouter · Aug 17, 2026

$7.5/1M

openrouter · Aug 17, 2026

+$7.1/1M

Context window

131k

openrouter · Aug 17, 2026

262k

openrouter · Aug 17, 2026

+131k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatLlama 3.1 70B

Lower output list price ($0.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMistral: Mistral Medium 3.5

Larger window (262k).

Screenshots / visionMistral: Mistral Medium 3.5

Mistral: Mistral Medium 3.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Llama 3.1 70B	Lower output list price ($0.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Mistral: Mistral Medium 3.5	Larger window (262k).
Screenshots / vision	Mistral: Mistral Medium 3.5	Mistral: Mistral Medium 3.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Llama 3.1 70B or Mistral: Mistral Medium 3.5?

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, Llama 3.1 70B or Mistral: Mistral Medium 3.5?

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?

Llama 3.1 70B output tokens are $0.4/1M versus $7.5/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 3.1 70B or Mistral: Mistral Medium 3.5?

We do not have TTFT for both models.

Which has the larger context window?

Mistral: Mistral Medium 3.5 accepts 262k tokens versus 131k.

Can I self-host either model?

Llama 3.1 70B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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. Llama 3.1 70B and Mistral: Mistral Medium 3.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.