Pick Command A+ for cohere's newer, more efficient flagship - runs on just two h100 gpus, unusually lean for a 218b-parameter model or a 218b-total/25b-active moe released with open weights (apache 2.0) on hugging face. Pick GPT-5.2 for strong all-round reasoning or reliable structured output. Choose Command A+ if you need self-hosting or data privacy; GPT-5.2 if you want a managed API.
Command A+ (Cohere, Canada) and GPT-5.2 (OpenAI, US) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. Command A+ is cohere's newer, leaner flagship - a 218B open-weight MoE tuned for efficiency (just two GPUs to run) and 48-language support. GPT-5.2 is a capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.
Key differences
Cost model: Command A+ ships open weights you can self-host (hardware cost only, no per-token fee), while GPT-5.2 is API-metered at $1.75/$14 per 1M tokens. Your choice depends on whether you want zero marginal cost at the price of running infrastructure.
Context window: GPT-5.2 holds 1.6× more — 400K (~600 pages) vs 256K (unconfirmed) (~384 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Command A+ is the newer model by about 5 months (released May 19, 2026), usually meaning fresher training data and capabilities.
Ecosystem: this is a Canada-vs-US matchup — they differ in pricing philosophy, data-residency options, and tooling ecosystems, not only benchmarks.
Specifications
Spec
Command A+
GPT-5.2
Provider
Cohere (Canada)
OpenAI (US)
Released
May 19, 2026
December 11, 2025
Context window
256K (unconfirmed) (~384 pages)
400K (~600 pages)
Price (in/out)
Open weight (self-host / free)
$1.75/$14 per 1M tokens
Open weight?
Yes — self-hostable
No — API only
Modalities
text, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Cohere's newer, more efficient flagship - runs on just two H100 GPUs, unusually lean for a 218B-parameter model: Command A+ — GPT-5.2 is comparatively weak here — smaller context than flagships
A 218B-total/25B-active MoE released with open weights (Apache 2.0) on Hugging Face: Command A+ — Open weights make this possible at all — GPT-5.2 is API-only, so it cannot leave the vendor's servers.
Supports 48 languages, including all official EU languages: Command A+ — Cohere's newer, leaner flagship - a 218B open-weight MoE tuned for efficiency (just two GPUs to run) and 48-language support — and its weights are open while GPT-5.2 is API-only.
Strong all-round reasoning: GPT-5.2 — Command A+ is comparatively weak here — enterprise/multilingual focus rather than topping general reasoning leaderboards
Reliable structured output: GPT-5.2 — A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5 — and it carries the larger 400K context.
Broad ecosystem and tooling: GPT-5.2 — GPT-5.2 lists broad ecosystem and tooling among its strengths; Command A+ does not.
Lowest cost at scale: Command A+ — Its weights are open, so at volume you pay for your own hardware instead of GPT-5.2's $1.75/$14 per 1M tokens.
Largest single-prompt input: GPT-5.2 — Its 400K window is about 1.6× larger than Command A+'s 256K (unconfirmed), fitting roughly 600 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Command A+ — At Open weight (self-host / free) it undercuts GPT-5.2, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: GPT-5.2 — Larger 400K window fits more in one prompt.
A team with data-privacy or self-hosting needs: Command A+ — Open weights let you run it on your own hardware; GPT-5.2 is API-only.
Anyone whose priority is cohere's newer, more efficient flagship - runs on just two h100 gpus, unusually lean for a 218b-parameter model: Command A+ — It is specifically built for that.
Anyone whose priority is strong all-round reasoning: GPT-5.2 — That is its strongest area.
An enterprise with regional data-residency rules: GPT-5.2 or Command A+ — Origin (Canada vs US) affects where data is processed and which compliance regime applies — check the provider's terms for your region.
Command A+: where it fits
Cohere's newer, leaner flagship - a 218B open-weight MoE tuned for efficiency (just two GPUs to run) and 48-language support. Released May 19, 2026 by Cohere, it is built for cohere's newer, more efficient flagship - runs on just two H100 GPUs, unusually lean for a 218B-parameter model, a 218B-total/25B-active MoE released with open weights (Apache 2.0) on Hugging Face, supports 48 languages, including all official EU languages, and positioned by Cohere as its 'most efficient and performant model to date'.
Its trade-offs are real: no official context window or per-token price published yet - both are estimated/unavailable, newer release with less independent benchmark verification than established flagships, and enterprise/multilingual focus rather than topping general reasoning leaderboards. As an open-weight model, its running cost is your own hardware rather than a per-token fee.
GPT-5.2: where it fits
A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. Released December 11, 2025 by OpenAI, it is built for strong all-round reasoning, reliable structured output, broad ecosystem and tooling, and professional workflows.
Its trade-offs: superseded by GPT-5.5, and smaller context than flagships. At $1.75 in / $14 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
The defining split here is open vs. closed. Command A+ gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. GPT-5.2 gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.
Frequently asked questions
Is Command A+ or GPT-5.2 better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Command A+ leans toward cohere's newer, more efficient flagship - runs on just two h100 gpus, unusually lean for a 218b-parameter model while GPT-5.2 leans toward strong all-round reasoning, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Command A+ or GPT-5.2?
Command A+ is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while GPT-5.2 is API-metered at $1.75/$14 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.
Which has the bigger context window?
GPT-5.2 — 400K vs 256K (unconfirmed), about 1.6× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Command A+ and GPT-5.2 together?
Yes — a multi-model platform like LumiChats gives you Command A+, GPT-5.2 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Command A+ or GPT-5.2?
Command A+ — released May 19, 2026, about 5 months after GPT-5.2.
Command A+ vs GPT-5.2
Cohere · Canada | OpenAI · US · Updated June 2026
Quick verdict
Pick Command A+ for cohere's newer, more efficient flagship - runs on just two h100 gpus, unusually lean for a 218b-parameter model or a 218b-total/25b-active moe released with open weights (apache 2.0) on hugging face. Pick GPT-5.2 for strong all-round reasoning or reliable structured output. Choose Command A+ if you need self-hosting or data privacy; GPT-5.2 if you want a managed API.
Command A+ (Cohere, Canada) and GPT-5.2 (OpenAI, US) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. Command A+ is cohere's newer, leaner flagship - a 218B open-weight MoE tuned for efficiency (just two GPUs to run) and 48-language support. GPT-5.2 is a capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.
Key differences at a glance
▸Cost model: Command A+ ships open weights you can self-host (hardware cost only, no per-token fee), while GPT-5.2 is API-metered at $1.75/$14 per 1M tokens. Your choice depends on whether you want zero marginal cost at the price of running infrastructure.
▸Context window: GPT-5.2 holds 1.6× more — 400K (~600 pages) vs 256K (unconfirmed) (~384 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Command A+ is the newer model by about 5 months (released May 19, 2026), usually meaning fresher training data and capabilities.
▸Ecosystem: this is a Canada-vs-US matchup — they differ in pricing philosophy, data-residency options, and tooling ecosystems, not only benchmarks.
Side-by-side specs
Spec
Command A+
GPT-5.2
Provider
Cohere (Canada)
OpenAI (US)
Released
May 19, 2026
December 11, 2025
Context window
256K (unconfirmed) (~384 pages)
400K (~600 pages)
Price (in/out)
Open weight (self-host / free)
$1.75/$14 per 1M tokens
Open weight?
Yes — self-hostable
No — API only
Modalities
text, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Cohere's newer, more efficient flagship - runs on just two H100 GPUs, unusually lean for a 218B-parameter model
Command A+
GPT-5.2 is comparatively weak here — smaller context than flagships
A 218B-total/25B-active MoE released with open weights (Apache 2.0) on Hugging Face
Command A+
Open weights make this possible at all — GPT-5.2 is API-only, so it cannot leave the vendor's servers.
Supports 48 languages, including all official EU languages
Command A+
Cohere's newer, leaner flagship - a 218B open-weight MoE tuned for efficiency (just two GPUs to run) and 48-language support — and its weights are open while GPT-5.2 is API-only.
Strong all-round reasoning
GPT-5.2
Command A+ is comparatively weak here — enterprise/multilingual focus rather than topping general reasoning leaderboards
Reliable structured output
GPT-5.2
A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5 — and it carries the larger 400K context.
Broad ecosystem and tooling
GPT-5.2
GPT-5.2 lists broad ecosystem and tooling among its strengths; Command A+ does not.
Lowest cost at scale
Command A+
Its weights are open, so at volume you pay for your own hardware instead of GPT-5.2's $1.75/$14 per 1M tokens.
Largest single-prompt input
GPT-5.2
Its 400K window is about 1.6× larger than Command A+'s 256K (unconfirmed), fitting roughly 600 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Command A+
At Open weight (self-host / free) it undercuts GPT-5.2, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ GPT-5.2
Larger 400K window fits more in one prompt.
A team with data-privacy or self-hosting needs
→ Command A+
Open weights let you run it on your own hardware; GPT-5.2 is API-only.
Anyone whose priority is cohere's newer, more efficient flagship - runs on just two h100 gpus, unusually lean for a 218b-parameter model
→ Command A+
It is specifically built for that.
Anyone whose priority is strong all-round reasoning
→ GPT-5.2
That is its strongest area.
An enterprise with regional data-residency rules
→ GPT-5.2 or Command A+
Origin (Canada vs US) affects where data is processed and which compliance regime applies — check the provider's terms for your region.
Command A+: where it fits
Cohere's newer, leaner flagship - a 218B open-weight MoE tuned for efficiency (just two GPUs to run) and 48-language support. Released May 19, 2026 by Cohere, it is built for cohere's newer, more efficient flagship - runs on just two H100 GPUs, unusually lean for a 218B-parameter model, a 218B-total/25B-active MoE released with open weights (Apache 2.0) on Hugging Face, supports 48 languages, including all official EU languages, and positioned by Cohere as its 'most efficient and performant model to date'.
Its trade-offs are real: no official context window or per-token price published yet - both are estimated/unavailable, newer release with less independent benchmark verification than established flagships, and enterprise/multilingual focus rather than topping general reasoning leaderboards. As an open-weight model, its running cost is your own hardware rather than a per-token fee.
GPT-5.2: where it fits
A capable GPT-5-generation all-rounder, now succeeded by GPT-5.5. Released December 11, 2025 by OpenAI, it is built for strong all-round reasoning, reliable structured output, broad ecosystem and tooling, and professional workflows.
Its trade-offs: superseded by GPT-5.5, and smaller context than flagships. At $1.75 in / $14 out per million tokens, it sits in the mid price band.
The bottom line for this matchup
The defining split here is open vs. closed. Command A+ gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. GPT-5.2 gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.
Want both Command A+ and GPT-5.2 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Command A+ leans toward cohere's newer, more efficient flagship - runs on just two h100 gpus, unusually lean for a 218b-parameter model while GPT-5.2 leans toward strong all-round reasoning, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Command A+ or GPT-5.2?
Command A+ is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while GPT-5.2 is API-metered at $1.75/$14 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.
Which has the bigger context window?
GPT-5.2 — 400K vs 256K (unconfirmed), about 1.6× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Command A+ and GPT-5.2 together?
Yes — a multi-model platform like LumiChats gives you Command A+, GPT-5.2 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Command A+ or GPT-5.2?
Command A+ — released May 19, 2026, about 5 months after GPT-5.2.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.