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

Mistral: Codestral 2508 vs GPT Image 2 (Low / Fast) benchmark

Name: Mistral: Codestral 2508 vs GPT Image 2 (Low / Fast) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between Mistral: Codestral 2508 and GPT Image 2 (Low / Fast). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

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Executive Verdict Summary

Mistral: Codestral 2508 holds empirical advantage (0 of 0 metrics)

Coding / SWESWE-bench

Mistral: Codestral 2508Top code solve rate

ReasoningGPQA / Live

Mistral: Codestral 2508Top logical accuracy

Best Value$/1M Tok

Mistral: Codestral 2508Lowest API billing cost

Speed / TokTok/Sec

Mistral: Codestral 2508Fastest stream rate

Mistral

Mistral: Codestral 2508

Auto-discovered from OpenRouter (mistralai/codestral-2508). Preview until a second source matches.

OpenAI

GPT Image 2 (Low / Fast)

Fast distilled tier of GPT Image 2 designed for high-throughput interactive creative workflows at 70% lower price.

Fast / Low CostImg Elo 1,315$65/1k imgs

Top Rival Showdowns for Mistral: Codestral 2508

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 vs Nano Banana Pro (Gemini 3 Pro Image)vs FLUX.2 [max]vs Ideogram 4.0 (Quality)

Image Quality Leader

No shared data

Single model data

Generation Speed Leader

No shared data

No latency data

Value per Dollar Leader

No shared data

Unpriced

Overall Matchup Breakdown

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

Mistral: Codestral 2508 (0)vsGPT Image 2 (Low / Fast) (5)

Mistral: Codestral 2508: 0W (0%)GPT Image 2 (Low / Fast): 5W (100%)

← Mistral: Codestral 2508GPT Image 2 (Low / Fast) →

🏆GPT Image 2 (Low / Fast) Leads(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

Mistral: Codestral 2508vsGPT Image 2 (Low / Fast)

Image Elo

—vs1,315

Prompt adherence

—vs89.2%

Text rendering

—vs88%

Mistral: Codestral 2508: 0WGPT Image 2 (Low / Fast): 3W

🏆GPT Image 2 (Low / Fast) Leads(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

Mistral: Codestral 2508vsGPT Image 2 (Low / Fast)

Generation time

—vs1.9s

Mistral: Codestral 2508: 0WGPT Image 2 (Low / Fast): 1W

🏆GPT Image 2 (Low / Fast) Leads(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

Mistral: Codestral 2508vsGPT Image 2 (Low / Fast)

Price per 1k images

—vs$65/1k

Mistral: Codestral 2508: 0WGPT Image 2 (Low / Fast): 1W

Side-by-Side Benchmark Matrix

Mistral: Codestral 2508GPT Image 2 (Low / Fast)

Image Elo

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)1,315

Generation time

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)1.9s

Price per 1k images

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)$65/1k

Prompt adherence

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)89.2%

Text rendering

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)88%

Benchmark	Mistral: Codestral 2508	GPT Image 2 (Low / Fast)	Advantage Delta
Image Elo	—	1,315 seed-bootstrap · Aug 1, 2026	—
Generation time	—	1.9s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$65/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	89.2% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	88% seed-bootstrap · Aug 1, 2026	—

Workload Cost & Savings Calculator

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

Save 100% with Mistral: Codestral 2508

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

Mistral: Codestral 2508$0.00 / mo

Rate: $0/1k

GPT Image 2 (Low / Fast)$1,625.00 / mo

Rate: $65/1k

Estimated Cost Delta

Mistral: Codestral 2508 is estimated to save $1,625.00/month ($19,500/year).

Based on 25k images generated

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionGPT Image 2 (Low / Fast)

GPT Image 2 (Low / Fast) 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	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	GPT Image 2 (Low / Fast)	GPT Image 2 (Low / Fast) is the side marked multimodal in the catalog.

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Mistral

Mistral: Codestral 2508

Elo n/a

SWE-bench—

Speed (tok/s)256k

Input / 1M Tokens$0.3/1M

Output / 1M Tokens$0.9/1M

OpenAI

GPT Image 2 (Low / Fast)

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$65/1k

Output / 1M Tokens$65/1k

Frequently Asked Questions

Which is better overall, Mistral: Codestral 2508 or GPT Image 2 (Low / Fast)?: 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: Codestral 2508 or GPT Image 2 (Low / Fast)?: 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?: List prices are missing for at least one model.
Which is faster, Mistral: Codestral 2508 or GPT Image 2 (Low / Fast)?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
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: Codestral 2508 and GPT Image 2 (Low / Fast) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Mistral: Codestral 2508 matchups →|All GPT Image 2 (Low / Fast) matchups →

GPT Image 2 (Low / Fast) vs GPT Image 2 (High) (previous gpt-image)GPT Image 1.5 vs GPT Image 2 (Low / Fast)DALL-E 3 vs GPT Image 2 (Low / Fast)Reve 2.1 vs GPT Image 2 (Low / Fast)Nano Banana Pro (Gemini 3 Pro Image) vs GPT Image 2 (Low / Fast)Nano Banana 2 (Gemini 3.1 Flash Image) vs GPT Image 2 (Low / Fast)

Side-by-Side Benchmark Matrix

Mistral: Codestral 2508GPT Image 2 (Low / Fast)

Image Elo

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)1,315

Generation time

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)1.9s

Price per 1k images

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)$65/1k

Prompt adherence

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)89.2%

Text rendering

Mistral: Codestral 2508—

GPT Image 2 (Low / Fast)88%

Benchmark	Mistral: Codestral 2508	GPT Image 2 (Low / Fast)	Advantage Delta
Image Elo	—	1,315 seed-bootstrap · Aug 1, 2026	—
Generation time	—	1.9s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$65/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	89.2% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	88% seed-bootstrap · Aug 1, 2026	—

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visionGPT Image 2 (Low / Fast)

GPT Image 2 (Low / Fast) 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	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	GPT Image 2 (Low / Fast)	GPT Image 2 (Low / Fast) is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Mistral: Codestral 2508 or GPT Image 2 (Low / Fast)?

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: Codestral 2508 or GPT Image 2 (Low / Fast)?

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?

List prices are missing for at least one model.

Which is faster, Mistral: Codestral 2508 or GPT Image 2 (Low / Fast)?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

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: Codestral 2508 and GPT Image 2 (Low / Fast) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.