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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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  2. Comparisons
  3. Codestral 25.01 vs Gemini 3.6 Flash

Pairwise benchmark snapshot · Aug 16, 2026

Codestral 25.01 vs Gemini 3.6 Flash benchmark

This page compares Codestral 25.01 (Mistral) and Gemini 3.6 Flash (Google) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Gemini 3.6 Flash is ahead by 186 points (1,506 vs 1,320; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Gemini 3.6 Flash resolves 70.8% versus 51.8% (seed-bootstrap (Aug 16, 2026)). Gemini 3.6 Flash streams faster (198 tok/s) while Codestral 25.01 is the cheaper output token ($0.9/1M). Gemini 3.6 Flash has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Quick answer

Codestral 25.01 vs Gemini 3.6 Flash is a dated snapshot, not a lab score. Gemini 3.6 Flash leads preference Elo (1,506 vs 1,320). Gemini 3.6 Flash leads SWE-bench coding. Codestral 25.01 is the cheaper output token. Elo is crowd preference, not an exam. Pick the column that matches the job.
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Mistral

Codestral 25.01

Mistral code-specialist model.

Elo 1,320$0.9/1M out

Google

Gemini 3.6 Flash

Google Jul 21 workhorse. Now shares the 3.7 Flash introductory $0.75/$3.75 rate through Dec 31 2026.

Elo 1,506$3.75/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A
Model B
Quick vs:vs Claude Opus 4.5vs Claude Opus 4.6vs Claude Sonnet 4.5vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Codestral 25.01 (2)vsGemini 3.6 Flash (8)
Codestral 25.01: 2W (20%)Overall: Gemini 3.6 FlashGemini 3.6 Flash: 8W (80%)
← Codestral 25.01Gemini 3.6 Flash →
Gemini 3.6 Flash (5/5)

Intelligence & Reasoning

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

Preference Elo
1,320vs1,506
Coding Elo
1,402vs1,514
SWE-bench
51.8%vs70.8%
LiveBench
54%vs67.2%
GPQA Diamond
58.4%vs79.6%
Codestral 25.01: 0WGemini 3.6 Flash: 5W
Gemini 3.6 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
148 tok/svs198 tok/s
Time to first token
150 msvs92 ms
Codestral 25.01: 0WGemini 3.6 Flash: 2W
Codestral 25.01 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.9/1Mvs$3.75/1M
Input price
$0.3/1Mvs$0.75/1M
Context window
256kvs1M
Codestral 25.01: 2WGemini 3.6 Flash: 1W
Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageGemini 3.6 Flash 5/6
Preference Elo

Gemini 3.6 Flash

186 pts advantage

Throughput Speed

Gemini 3.6 Flash

50 tok/s faster

Price Efficiency

Codestral 25.01

$2.85/1M cheaper

Full Benchmark Score Matrix

—
Elo
High is better
1,320
EloHigh is better
1,506+14%
Code Elo
High is better
1,402
Code EloHigh is better
1,514+8%
LiveBench
High is better
54%
LiveBenchHigh is better
67.2%+24%
SWE-bench
High is better
51.8%
SWE-benchHigh is better
70.8%+37%
GPQA
High is better
58.4%
GPQAHigh is better
79.6%+36%
TTFT
Low is better
150 ms
TTFTLow is better
92 ms+63%
Speed
High is better
148 tok/s
SpeedHigh is better
198 tok/s+34%
In $
Low is better
+150%$0.3/1M
In $Low is better
$0.75/1M
Out $
Low is better
+317%$0.9/1M
Out $Low is better
$3.75/1M
Context
High is better
256k
ContextHigh is better
1M+310%
Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 71% with Codestral 25.01
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Codestral 25.01$24.00 / mo
In: $10.50Out: $13.50
Gemini 3.6 Flash$82.50 / mo
In: $26.25Out: $56.25
Estimated Cost Delta

Codestral 25.01 is estimated to save $58.50/month ($702/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Gemini 3.6 Flash:Pick Gemini 3.6 Flash when repo-level coding accuracy is the constraint.
  • 2
    Codestral 25.01:Pick Codestral 25.01 when you are optimizing output cost.
  • 3
    Gemini 3.6 Flash:Pick Gemini 3.6 Flash when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGemini 3.6 Flash

Higher SWE-bench (70.8%).

High-volume chatCodestral 25.01

Lower output list price ($0.9/1M).

Voice / low-latency UIGemini 3.6 Flash

Lower TTFT (92 ms).

Long-document RAGGemini 3.6 Flash

Larger window (1M).

Screenshots / visionGemini 3.6 Flash

Gemini 3.6 Flash is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGemini 3.6 FlashHigher SWE-bench (70.8%).
High-volume chatCodestral 25.01Lower output list price ($0.9/1M).
Voice / low-latency UIGemini 3.6 FlashLower TTFT (92 ms).
Long-document RAGGemini 3.6 FlashLarger window (1M).
Screenshots / visionGemini 3.6 FlashGemini 3.6 Flash is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
priceAug 13, 2026

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Jul 21 workhorse that inherited $0.75/$3.75 through year-end. Keep the row; 3.7 is the newer sibling.

launchJan 14, 2025

Codestral 25.01: Mistral’s code-specialist row

Jan 2025 code model. Still a valid cheap-coding compare. Not a chatbot.

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Mistral

Codestral 25.01

Elo 1,320
LiveBench54%
SWE-bench51.8%
Speed148 tok/s
Output cost$0.9/1M
Google

Gemini 3.6 Flash

Elo 1,506
LiveBench67.2%
SWE-bench70.8%
Speed198 tok/s
Output cost$3.75/1M

Frequently Asked Questions

Which is better overall, Codestral 25.01 or Gemini 3.6 Flash?
Gemini 3.6 Flash has the higher preference Elo in our latest snapshot (1,506). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Codestral 25.01 or Gemini 3.6 Flash?
Gemini 3.6 Flash leads SWE-bench at 70.8% vs 51.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Codestral 25.01 output tokens are $0.9/1M versus $3.75/1M. Input prices and retry rates still move the real bill.
Which is faster, Codestral 25.01 or Gemini 3.6 Flash?
Gemini 3.6 Flash has the lower time-to-first-token (92 ms vs 150 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Gemini 3.6 Flash accepts 1M tokens versus 256k.
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. Codestral 25.01 and Gemini 3.6 Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • price · Aug 13, 2026

    Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

  • launch · Jan 14, 2025

    Codestral 25.01: Mistral’s code-specialist row

Similar Head-to-Head Comparisons

All Codestral 25.01 matchups →|All Gemini 3.6 Flash matchups →
Codestral 25.01 vs Mistral Large 3 (next mistral)Gemini 3.6 Flash vs Gemini 3 Flash (previous gemini-flash)Gemini 3.6 Flash vs Gemini 3.7 Flash (next gemini-flash)Mistral Large 3 vs Gemini 3.6 FlashGemini 3 Pro vs Gemini 3.6 FlashGemini 2.0 Flash Thinking vs Gemini 3.6 Flash