Pairwise benchmark snapshot · Aug 16, 2026

Codestral 25.01 vs Grok 4.6 benchmark

Name: Codestral 25.01 vs Grok 4.6 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Codestral 25.01 (Mistral) and Grok 4.6 (xAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Grok 4.6 is ahead by 272 points (1,592 vs 1,320; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Grok 4.6 resolves 69.1% versus 51.8% (seed-bootstrap (Aug 16, 2026)). Codestral 25.01 streams faster (148 tok/s) while Codestral 25.01 is the cheaper output token ($0.9/1M). Grok 4.6 has the larger context window (500k 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.

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Mistral

Codestral 25.01

Mistral code-specialist model.

Elo 1,320$0.9/1M out

xAI

Grok 4.6

xAI Aug 12 2026 post-training refresh of Grok 4.5. Same $2/$6 API price, 500k context, stronger agentic traces.

Elo 1,592$6/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs 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 (4)vsGrok 4.6 (6)

Codestral 25.01: 4W (40%)Overall: Grok 4.6Grok 4.6: 6W (60%)

← Codestral 25.01Grok 4.6 →

Grok 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,320vs1,592

Coding Elo

1,402vs1,568

SWE-bench

51.8%vs69.1%

LiveBench

54%vs71.4%

GPQA Diamond

58.4%vs84.6%

Codestral 25.01: 0WGrok 4.6: 5W

Codestral 25.01 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

148 tok/svs118 tok/s

Time to first token

150 msvs195 ms

Codestral 25.01: 2WGrok 4.6: 0W

Codestral 25.01 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.9/1Mvs$6/1M

Input price

$0.3/1Mvs$2/1M

Context window

256kvs500k

Codestral 25.01: 2WGrok 4.6: 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 AdvantageGrok 4.6 4/6

Preference Elo

Grok 4.6

272 pts advantage

Throughput Speed

Codestral 25.01

30 tok/s faster

Price Efficiency

Codestral 25.01

$5.10/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,320

EloHigh is better

1,592+21%

Code Elo

High is better

1,402

Code EloHigh is better

1,568+12%

LiveBench

High is better

54%

LiveBenchHigh is better

71.4%+32%

SWE-bench

High is better

51.8%

SWE-benchHigh is better

69.1%+33%

GPQA

High is better

58.4%

GPQAHigh is better

84.6%+45%

TTFT

Low is better

+30%150 ms

TTFTLow is better

195 ms

Speed

High is better

+25%148 tok/s

SpeedHigh is better

118 tok/s

In $

Low is better

+567%$0.3/1M

In $Low is better

$2/1M

Out $

Low is better

+567%$0.9/1M

Out $Low is better

$6/1M

Context

High is better

256k

ContextHigh is better

500k+95%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 85% 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

Grok 4.6$160.00 / mo

In: $70.00Out: $90.00

Estimated Cost Delta

Codestral 25.01 is estimated to save $136.00/month ($1,632/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Grok 4.6:Pick Grok 4.6 when repo-level coding accuracy is the constraint.
2
Codestral 25.01:Pick Codestral 25.01 when you are optimizing output cost.
3
Codestral 25.01:Pick Codestral 25.01 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGrok 4.6

Higher SWE-bench (69.1%).

High-volume chatCodestral 25.01

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

Voice / low-latency UICodestral 25.01

Lower TTFT (150 ms).

Long-document RAGGrok 4.6

Larger window (500k).

Screenshots / visionGrok 4.6

Grok 4.6 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Grok 4.6	Higher SWE-bench (69.1%).
High-volume chat	Codestral 25.01	Lower output list price ($0.9/1M).
Voice / low-latency UI	Codestral 25.01	Lower TTFT (150 ms).
Long-document RAG	Grok 4.6	Larger window (500k).
Screenshots / vision	Grok 4.6	Grok 4.6 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

compareAug 12, 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Brand hub remaps to top xAI vs top OpenAI. After Aug 12 that is Grok 4.6 vs Sol.

launchAug 12, 2026

Grok 4.6 (Aug 12): post-training refresh, same $2/$6 list

xAI’s Aug 12 2026 refresh of Grok 4.5. 500k context. The Grok vs ChatGPT hub remaps here.

launchJul 10, 2025

Grok 4 remains the previous xAI flagship on this catalog

2025-07 row. 4.6 is the buy. We keep 4 so upgrade pairs and old inbound links resolve.

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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LIVE

Mistral

Codestral 25.01

Elo 1,320

LiveBench54%

SWE-bench51.8%

Speed148 tok/s

Output cost$0.9/1M

xAI

Grok 4.6

Elo 1,592

LiveBench71.4%

SWE-bench69.1%

Speed118 tok/s

Output cost$6/1M

Frequently Asked Questions

Which is better overall, Codestral 25.01 or Grok 4.6?: Grok 4.6 has the higher preference Elo in our latest snapshot (1,592). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Codestral 25.01 or Grok 4.6?: Grok 4.6 leads SWE-bench at 69.1% 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 $6/1M. Input prices and retry rates still move the real bill.
Which is faster, Codestral 25.01 or Grok 4.6?: Codestral 25.01 has the lower time-to-first-token (150 ms vs 195 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Grok 4.6 accepts 500k 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 Grok 4.6 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Codestral 25.01 matchups →|All Grok 4.6 matchups →

Codestral 25.01 vs Mistral Large 3 (next mistral)Grok 4.6 vs Grok 4 (previous grok)Mistral Large 3 vs Grok 4.6 Grok 3 vs Codestral 25.01 Doubao Pro 1.5 vs Grok 4.6 Yi-Lightning vs Grok 4.6

Codestral 25.01 vs Grok 4.6 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Codestral 25.01 (4)vsGrok 4.6 (6)

Codestral 25.01: 4W (40%)Overall: Grok 4.6Grok 4.6: 6W (60%)

← Codestral 25.01Grok 4.6 →

Grok 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,320vs1,592

Coding Elo

1,402vs1,568

SWE-bench

51.8%vs69.1%

LiveBench

54%vs71.4%

GPQA Diamond

58.4%vs84.6%

Codestral 25.01: 0WGrok 4.6: 5W

Codestral 25.01 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

148 tok/svs118 tok/s

Time to first token

150 msvs195 ms

Codestral 25.01: 2WGrok 4.6: 0W

Codestral 25.01 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.9/1Mvs$6/1M

Input price

$0.3/1Mvs$2/1M

Context window

256kvs500k

Codestral 25.01: 2WGrok 4.6: 1W

Recommended Workload Routing

Repo / coding agentsGrok 4.6

Higher SWE-bench (69.1%).

High-volume chatCodestral 25.01

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

Voice / low-latency UICodestral 25.01

Lower TTFT (150 ms).

Long-document RAGGrok 4.6

Larger window (500k).

Screenshots / visionGrok 4.6

Grok 4.6 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Grok 4.6	Higher SWE-bench (69.1%).
High-volume chat	Codestral 25.01	Lower output list price ($0.9/1M).
Voice / low-latency UI	Codestral 25.01	Lower TTFT (150 ms).
Long-document RAG	Grok 4.6	Larger window (500k).
Screenshots / vision	Grok 4.6	Grok 4.6 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Codestral 25.01 or Grok 4.6?

Grok 4.6 has the higher preference Elo in our latest snapshot (1,592). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Codestral 25.01 or Grok 4.6?

Grok 4.6 leads SWE-bench at 69.1% 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 $6/1M. Input prices and retry rates still move the real bill.

Which is faster, Codestral 25.01 or Grok 4.6?

Codestral 25.01 has the lower time-to-first-token (150 ms vs 195 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Grok 4.6 accepts 500k 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 Grok 4.6 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Grok 4.6

Codestral 25.01

Codestral 25.01

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Grok vs ChatGPT: price and Elo, not a personality contest

Grok 4.6 (Aug 12): post-training refresh, same $2/$6 list

Grok 4 remains the previous xAI flagship on this catalog

Codestral 25.01: Mistral’s code-specialist row

Cast Your Matchup Vote

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CompareLLM Matrix

Codestral 25.01

Grok 4.6

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Grok 4.6

Codestral 25.01

Codestral 25.01

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Grok vs ChatGPT: price and Elo, not a personality contest

Grok 4.6 (Aug 12): post-training refresh, same $2/$6 list

Grok 4 remains the previous xAI flagship on this catalog

Codestral 25.01: Mistral’s code-specialist row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Codestral 25.01

Grok 4.6

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons