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

Doubao Lite 1.5 vs Mistral: Mistral Nemo benchmark

Name: Doubao Lite 1.5 vs Mistral: Mistral Nemo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Mistral: Mistral Nemo is more budget-friendly at $0.03/1M 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

Mistral: Mistral Nemo holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench

Doubao Lite 1.5Top code solve rate

ReasoningGPQA / Live

Doubao Lite 1.5Top logical accuracy

Best Value$/1M Tok

Mistral: Mistral NemoLowest API billing cost

Speed / TokTok/Sec

Doubao Lite 1.5Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Doubao Lite 1.5 (0)Mistral: Mistral Nemo (3)

Doubao Lite 1.5

0 of 3 Wins

Competitive baseline across remaining benchmarks

Mistral: Mistral Nemo

3 of 3 Wins

✓Input price✓Output price✓Context window

ByteDance

Doubao Lite 1.5

ByteDance high-speed lightweight model priced at sub-cent levels.

Lite 1.5Elo 1,360In: $0.04 · Out: $0.1/1M

Mistral

Leads 3 of 3

Mistral: Mistral Nemo

Auto-discovered from OpenRouter (mistralai/mistral-nemo). Preview until a second source matches.

In: $0.019 · Out: $0.03/1M

Doubao Series Lineage & Sibling Variants

3 models

Currently comparing Doubao Lite 1.5 vs Mistral: Mistral Nemo. Alternative family tiers available.

Active: Doubao Lite 1.5

Doubao Pro 1.5$0.28 Seed 2.1 Turbo$2.5

Top Rival Showdowns for Doubao Lite 1.5

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderMistral: Mistral Nemo Wins

Mistral: Mistral Nemo

$0.03 / 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.

Doubao Lite 1.5 (7)vsMistral: Mistral Nemo (3)

Doubao Lite 1.5: 7W (70%)Mistral: Mistral Nemo: 3W (30%)

← Doubao Lite 1.5Mistral: Mistral Nemo →

🏆Doubao Lite 1.5 Leads(5/5)

Intelligence & Reasoning

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

Benchmark

Doubao Lite 1.5vsMistral: Mistral Nemo

Preference Elo

1,360vs—

Coding Elo

1,320vs—

SWE-bench

46%vs—

LiveBench

54%vs—

GPQA Diamond

64.2%vs—

Doubao Lite 1.5: 5WMistral: Mistral Nemo: 0W

🏆Doubao Lite 1.5 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark

Doubao Lite 1.5vsMistral: Mistral Nemo

Output speed

180 tok/svs—

Time to first token

110 msvs—

Doubao Lite 1.5: 2WMistral: Mistral Nemo: 0W

🏆Mistral: Mistral Nemo Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark

Doubao Lite 1.5vsMistral: Mistral Nemo

Output price

$0.1/1Mvs$0.03/1M+$0.07/1M

Input price

$0.04/1Mvs$0.019/1M+$0.021/1M

Context window

33kvs131k+98k

Doubao Lite 1.5: 0WMistral: Mistral Nemo: 3W

Side-by-Side Benchmark Matrix

Doubao Lite 1.5Mistral: Mistral Nemo

Preference Elo

Doubao Lite 1.51,360

Mistral: Mistral Nemo—

Coding Elo

Doubao Lite 1.51,320

Mistral: Mistral Nemo—

LiveBench

Doubao Lite 1.554%

Mistral: Mistral Nemo—

SWE-bench

Doubao Lite 1.546%

Mistral: Mistral Nemo—

GPQA Diamond

Doubao Lite 1.564.2%

Mistral: Mistral Nemo—

Time to first token

Doubao Lite 1.5110 ms

Mistral: Mistral Nemo—

Output speed

Doubao Lite 1.5180 tok/s

Mistral: Mistral Nemo—

Input priceMistral: Mistral Nemo +$0.021/1M

Doubao Lite 1.5$0.04/1M

Mistral: Mistral Nemo$0.019/1M

Output priceMistral: Mistral Nemo +$0.07/1M

Doubao Lite 1.5$0.1/1M

Mistral: Mistral Nemo$0.03/1M

Context windowMistral: Mistral Nemo +98k

Doubao Lite 1.533k

Mistral: Mistral Nemo131k

Benchmark	Doubao Lite 1.5	Mistral: Mistral Nemo	Advantage Delta
Preference Elo	1,360 lmarena · Aug 17, 2026	—	—
Coding Elo	1,320 lmarena · Aug 17, 2026	—	—
LiveBench	54% livebench · Aug 17, 2026	—	—
SWE-bench	46% swebench · Aug 17, 2026	—	—
GPQA Diamond	64.2% seed-bootstrap · Aug 1, 2026	—	—
Time to first token	110 ms seed-bootstrap · Aug 1, 2026	—	—
Output speed	180 tok/s seed-bootstrap · Aug 1, 2026	—	—
Input price	$0.04/1M seed-bootstrap · Aug 1, 2026	$0.019/1M openrouter · Aug 17, 2026	+$0.021/1M
Output price	$0.1/1M seed-bootstrap · Aug 1, 2026	$0.03/1M openrouter · Aug 17, 2026	+$0.07/1M
Context window	33k seed-bootstrap · Aug 1, 2026	131k openrouter · Aug 17, 2026	+98k

Workload Cost & Savings Calculator

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

Save 62% with Mistral: Mistral Nemo

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Doubao Lite 1.5$2.90 / mo

In: $1.4Out: $1.5

Mistral: Mistral Nemo$1.12 / mo

In: $0.665Out: $0.45

Estimated Cost Delta

Mistral: Mistral Nemo is estimated to save $1.79/month ($21/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Mistral: Mistral Nemo:Pick Mistral: Mistral Nemo when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Mistral Nemo

Lower output list price ($0.03/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMistral: Mistral Nemo

Larger window (131k).

Screenshots / visionMistral: Mistral Nemo

Mistral: Mistral Nemo 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	Mistral: Mistral Nemo	Lower output list price ($0.03/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Mistral: Mistral Nemo	Larger window (131k).
Screenshots / vision	Mistral: Mistral Nemo	Mistral: Mistral Nemo 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

ByteDance

Doubao Lite 1.5

Elo 1,360

SWE-bench46%

Speed (tok/s)180 tok/s

Input / 1M Tokens$0.04/1M

Output / 1M Tokens$0.1/1M

Mistral

Mistral: Mistral Nemo

Elo n/a

SWE-bench—

Speed (tok/s)131k

Input / 1M Tokens$0.019/1M

Output / 1M Tokens$0.03/1M

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or Mistral: Mistral Nemo?: 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, Doubao Lite 1.5 or Mistral: Mistral Nemo?: 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 Nemo output tokens are $0.03/1M versus $0.1/1M. Input prices and retry rates still move the real bill.
Which is faster, Doubao Lite 1.5 or Mistral: Mistral Nemo?: We do not have TTFT for both models.
Which has the larger context window?: Mistral: Mistral Nemo accepts 131k tokens versus 33k.
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. Doubao Lite 1.5 and Mistral: Mistral Nemo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Doubao Lite 1.5 matchups →|All Mistral: Mistral Nemo matchups →

Doubao Lite 1.5 vs Doubao Pro 1.5 (next seed)Mistral Large 3 vs Doubao Lite 1.5 Codestral 25.01 vs Doubao Lite 1.5 Seed 2.1 Turbo vs Doubao Lite 1.5 Yi-Lightning vs Doubao Lite 1.5 Gemini 2.0 Flash Thinking vs Doubao Lite 1.5

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

Doubao Lite 1.5Mistral: Mistral Nemo

Preference Elo

Doubao Lite 1.51,360

Mistral: Mistral Nemo—

Coding Elo

Doubao Lite 1.51,320

Mistral: Mistral Nemo—

LiveBench

Doubao Lite 1.554%

Mistral: Mistral Nemo—

SWE-bench

Doubao Lite 1.546%

Mistral: Mistral Nemo—

GPQA Diamond

Doubao Lite 1.564.2%

Mistral: Mistral Nemo—

Time to first token

Doubao Lite 1.5110 ms

Mistral: Mistral Nemo—

Output speed

Doubao Lite 1.5180 tok/s

Mistral: Mistral Nemo—

Input priceMistral: Mistral Nemo +$0.021/1M

Doubao Lite 1.5$0.04/1M

Mistral: Mistral Nemo$0.019/1M

Output priceMistral: Mistral Nemo +$0.07/1M

Doubao Lite 1.5$0.1/1M

Mistral: Mistral Nemo$0.03/1M

Context windowMistral: Mistral Nemo +98k

Doubao Lite 1.533k

Mistral: Mistral Nemo131k

Benchmark

Doubao Lite 1.5

Mistral: Mistral Nemo

Advantage Delta

Preference Elo

1,360

lmarena · Aug 17, 2026

—

Coding Elo

1,320

lmarena · Aug 17, 2026

—

LiveBench

54%

livebench · Aug 17, 2026

—

SWE-bench

46%

swebench · Aug 17, 2026

—

GPQA Diamond

64.2%

seed-bootstrap · Aug 1, 2026

—

Time to first token

110 ms

seed-bootstrap · Aug 1, 2026

—

Output speed

180 tok/s

seed-bootstrap · Aug 1, 2026

—

Input price

$0.04/1M

seed-bootstrap · Aug 1, 2026

$0.019/1M

openrouter · Aug 17, 2026

+$0.021/1M

Output price

$0.1/1M

seed-bootstrap · Aug 1, 2026

$0.03/1M

openrouter · Aug 17, 2026

+$0.07/1M

Context window

33k

seed-bootstrap · Aug 1, 2026

131k

openrouter · Aug 17, 2026

+98k

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Mistral Nemo

Lower output list price ($0.03/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMistral: Mistral Nemo

Larger window (131k).

Screenshots / visionMistral: Mistral Nemo

Mistral: Mistral Nemo 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	Mistral: Mistral Nemo	Lower output list price ($0.03/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Mistral: Mistral Nemo	Larger window (131k).
Screenshots / vision	Mistral: Mistral Nemo	Mistral: Mistral Nemo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Doubao Lite 1.5 or Mistral: Mistral Nemo?

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, Doubao Lite 1.5 or Mistral: Mistral Nemo?

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 Nemo output tokens are $0.03/1M versus $0.1/1M. Input prices and retry rates still move the real bill.

Which is faster, Doubao Lite 1.5 or Mistral: Mistral Nemo?

We do not have TTFT for both models.

Which has the larger context window?

Mistral: Mistral Nemo accepts 131k tokens versus 33k.

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. Doubao Lite 1.5 and Mistral: Mistral Nemo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.